Note: Descriptions are shown in the official language in which they were submitted.
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METHOD FOR SEARCHING FOR A PERSON
TECHNICAL FIELD
This invention relates to automated banking machines. Specifically
this invention relates to a processing system comprised of a plurality of
automated banking machines which are operative to cooperatively process
portions of a common processing job during periods of non-consumer use.
BACKGROUND ART
Automated banking machines are well known. A common type of
automated banking machine used by consumers is an automated teller
machine ("ATM"). ATMs enable customers to carry out banking ri-ansaetions.
Common banking transactions that may be carried out with ATMs include the
dispensing of cash, the receipt of deposits, the transfer of funds between
accounts, the payment of bills and account balance inquiries. The type of
banking transactions a customer can carry out are determined by capabilities
of the particular banking machine and the prograrruning of the institution
operating the machine. Other types of automated banking machines may
allow customers to charge against accounts or to transfer funds. Other types
of automated banking machines may print or dispense items of value such as
coupons, tickets, wagering slips, vouchers, checks, food stamps, money
orders, scrip or travelers checks. For purposes of this disclosure an ATM, an
automated banking machine, or an automated transaction machine shall
encompass any device which carries out transactions including transfers of
value.
Many ATMs include modern processing systems with fast processors,
large amounts of memory, and large storage devices. Such processing
systems enable ATMs to display high resolution graphical user interfaces
which may include audio visual presentations and other processor intensive
applications. Although short interruptions in the operation of an ATM may
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occur when the ATM is being serviced, in general ATMs are available for
consumer use 24 hours a day, 7 days a week. Unfortunately consumers do not
generally use ATA~Is continuously 24 hours a day, 7 days a week. Even the
most heavily used ATMs experience a significant number of idle periods of
non-consumer use. Although small amounts of processing power may be used
for maintaining the ATMs in an available state for future consumer uses,
generally during such idle periods the processing systems of ATMs remain
significantly underutilized. Consequently there exists a need for a system and
method of providing productive uses for unused processing power in ATMs.
ATMs typically generate income from transaction fees. Unfortunately
during off peak hours such as the early morning hours of a day, relatively few
consumer transactions may be performed resulting in relatively small amounts
of income being generated. As a result there further exists a need for a
system
and method of generating additional income from ATMs during off peak
hours.
DISCLOSURE OF INVENTION
It is an object of an exemplary form of the present invention to provide
an automated banking machine at which a user may conduct transactions.
It is a further object of an exemplary form of the present invention to
provide an automated banking machine that is more productive during periods
of non-consumer use.
It is a further object of an exemplary form of the present invention to
provide an automated banking machine that is operative to generate income
during periods of non-consumer use.
It is a further object of an exemplary foam of the present invention to
provide a system and method which provides additional uses for unused
processing power in ATMs.
Further objects of exemplary forms of the present invention will be made
apparent in the following Best Modes for Can-ying Out Invention and the
appended claims.
The foregoing objects may be accomplished in an exemplary
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embodiment by an automated banking machine or ATM that includes at least
one output device such as a display screen, and at least one input device such
as a touch screen, function keys, keypad, a keyboard, card reader or other
type
of input device. The machine may further include devices such as a cash
S dispenser mechanism for sheets of currency, a receipt printer mechanism, a
depository mechanism and other transaction function devices that are used by
the machine in carrying out transactions.
The ATM includes at least one computer processor. The computer
processor is in operative connection with the output devices and the input
devices, as well as with the cash dispenser mechanism, receipt printer
mechanism and other physical transaction function devices in the ATM. The
computer processor includes software programs that are executable therein.
In an exemplary embodiment, the software programs include a
processing client application. The processing client application is operative
to
communicate with a coordination server application located remotely from the
ATM. In an exemplary embodiment the coordination server application is
operative within a server computer processor of a financial transaction
processing system, which in this example may include a host banking system,
or another networked server computing system in operative connection with
the ATM.
The exemplary embodiment of the processing client application is
operative to cause the computer processor of the ATM to perform tasks
received by the processing client application from the coordination server
application. The exemplary embodiment of the processing client application
may be operative to prevent the degradation of an ATM's performance while a
consumer is using the ATM, by limiting the processing of a received task, to
idle periods when a consumer is not using the ATM and/or when the ATM is
not performing transaction functions.
In the exemplary embodiment the coordination server application of
the server computer receives processing jobs from one or more job submitting
entities. Such processing jobs may be divided into a plurality of tasks by the
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coordination server application and distributed among a plurality of different
ATMs. The jobs may be received from a computer system or network address
associated with the one or more job submitting entities. The jobs may also be
manually inputted into the coordination server application and/or retrieved
from a portable storage medium. In other exemplary embodiments, job
submitting entities may include users which may submit a processing job to
the coordination server application through operation of one of the ATMs in
communication with the coordination server application.
The exemplary embodiment of the coordination server application may
be operative to conununicate with a plurality of ATMs connected through
either a private financial network or a public network such as the Internet.
Responsive to the processing ability of each ATM and the corresponding
speed of each net»~ork connection to each ATM, the exemplary coordination
server application may be operative to selectively divide one or more
processing jobs among a plurality of different ATMs. As each ATM
completes a received portion of the job or a task, the ATMs may be operative
to forward the results of the tasks to the coordination server application.
The
coordination server application assembles the results returned by the ATMs
and continuously returns additional or other tasks to the ATMs to be
processed during idle periods.
In the exemplary embodiment, jobs may be received by the
coordination server application from individuals, businesses, universities,
governmental agencies, or other entities which require large amounts of
processing resources to process complex problems or other computer
definable calculations or functions.
For example, a processing job may include the rendering of motion
picture images for an animated movie. Movies are often comprised of tens of
thousands of individual images. The exemplary embodiment of the
coordination server application may be operative to send programming
instructions fox rendering one or more different images of the movie to a
pluraliy of different ATAZs. During idle periods; the exemplary ATM may be
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operative to perform ray tracing calculations or other image rendering
functions responsive to the programs wluch define each image. When an
image has been completely rendered, an ATM may be operative to return a
corresponding image file to the coordination server application. The ATM
may then continue processing additional images or may perform other tasks
received by the coordination server application. This process may continue
until all of the images in the movie have been rendered.
In this described exemplary embodiment, the coordination server
application may be operative to assemble the completed image files and
forward them to the entity which submitted the processing job. In one
exemplary embodiment, the coordination server application may aggregate all
or a portion of the tasks completed by the ATMs into a group before
forwarding the group of the completed tasks to the job submitting entity. In
other embodiments, the coordination server application may periodically or
continuously return the results of individual tasks to the job submitting
entity
as they are individually completed by the ATMs. The coordination server
application rnay be further operative to calculate the total amount of
processing time consumed by the ATMs to process the processing job and
based on this amount, calculate the amount of fees to bill the entity which
submitted the processing job.
BRIEF DESCRIPTION OF DRAWINGS
Figure 1 is a perspective view of an exemplary embodiment of an
ATM that is operative to process tasks associated with a processing job.
Figure 2 is a schematic view of an exemplary embodiment of an ATM
processing system.
Figure 3 is a schematic view representative of exemplary embodiments
of a coordination server application and a processing client.
Figure 4 shows a listing of processing durations to complete a test task
by different models of ATMs.
Figure 5 shows a listing of task results for a processing job for a
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plurality of different ATMs.
Figure 6 is a schematic view of an exemplary embodiment of an ATM
processing system that is operative to search for users of ATMs.
BEST MODES FOR CARRYING OUT INVENTION
Referring now to the drawings and particularly to Figure 1, there is
shown therein a perspective view of an exemplary automated banking
machine or ATM 10. The exemplary ATM 10 includes at least one output
device such as a display device 12. The output device 12 is operative to
provide a consumer with a user interface 18 that includes a plurality of
screens
or other outputs including selectable options for operating the machine. The
exemplary embodiment may further include other types of output devices such
as speakers, or other types of devices that are capable of outputting visual,
audible, or other sensory perceptible information.
The exemplary embodiment of the automated banking machine 10
includes a plurality of input devices such as function keys 14 and a keypad 16
as v,~ell as a card reader 26. The exemplary embodiment of the ATM 10 may
further include or utilize other types of input devices, such as a touch
screen,
microphone, or any other device that is operative to provide the ATM with
. inputs representative of user instructions or information. The machine may
also include one or more biometric reader devices such as a fingerprint
scanner, an iris scanner, facial recognition device, hand scanner, or any
other
biometric reading device which may be used to read a biometric input that can
be used to identify a user.
The exemplary ATM 10 further includes a plurality of transaction
function devices which may include for example a sheet or cash dispenser 20,
depository 22, a receipt printer 24 and other devices.
Figure 2 shows a schematic view of an exemplary embodiment of an
ATM processing system S0. The system may include a plurality of ATMs 52.
These ATMs may include all or a portion of the features and devices
described with reference to the ATM 10 of Figure 1. The plurality of ATMs
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52 may be in operative connection with at least one server computing system
56 through a public or private network connection 58. In one exemplary
embodiment the network connection 58 and the server computing system 56
correspond to portions of a private financial transaction processing system
such as a host banking system. However, in alternative exemplary
embodiments, the network connection 58 may correspond to a public network
such as the Internet and the server computing system 56 may include a server
in operative connection with the Internet.
The exemplary server computing system 56 may also be in operative
connection with the computer systems of one or more job submitting entities
60 through a network connection 62. The network connection 62 may also
include a private network and/or a public network such as the Internet. The
computer systems of the exemplary job submitting entities 60 may include
computers and/or other devices of individuals, companies, governmental
agencies, universities or any other entity which is operative to submit
computer definable processing jobs to the server computing system 56.
The exemplary server computing system 56 includes a coordination
server application 54 operative therein. The coordination server application
54 may be operative to communicate with each of the ATMs 52 and with one
or more job submitting entities 60. In one exemplary embodiment, the
coordination server application 54 may be operative to receive at least one
processing job 64 from the computer system of the job submitting entity 60.
The coordination server application 54 may be further operative to divide the
processing job into a plurality of tasks 66 which are distributed by the
coordination server application to all or a subset of the ATMs 52. Examples
of processing jobs may include ray tracing calculations, database mining,
cryptographic processes, unenerypting data, stock market analysis, DNA
sequencing calculations, digital signal processing, finite elemental analysis
and modeling, sub-atomic particle analysis, chemical property and reaction
calculations, analysis of images, analysis of biometric data, analysis of
facial
image data, analysis of data from monetary instruments, analysis of image
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data from check, analysis of data corresponding to cursive signatures or other
handwriting, analysis of image data from cuwency, or any other computer
processing calculation, analyzation, function or program which can be
subdivided into tasks for parallel processing by a plurality of ATMs.
The exemplary embodiments of the ATMs 52 may be operative to
process the received tasks and return the results of the tasks 68 to the
coordination server application 54. The exemplary embodiment of the
coordination server application 54 may be operative to assemble the task
results 68 and return the results of the processing job 70 to the job
submitting
entity 60.
A processing job may be sent to the coordination server application
from the job submitting entity as a complete group of individual tasks which
are divided among the ATMs after the job has been received. In addition the
processing jobs may be sent to the coordination server application from the
job submitting entity as a continuous or periodic stream of tasks. The
coordination server application may then begin dividing the tasks among the
plurality of ATMs 52 before all of the tasks associated with the job have been
received by the coordination server application from the job submitting
entity.
Likewise, the job results 70 being returned to the job submitting entity
60 from the coordination server application 54 may include all or a portion of
the task results 68 received from the ATMs. Thus the coordination server
may wait until all of the tasl{ results 68 expected have been returned from
the
ATMs 54 before the job results 70 are assembled and returned to the job
submitting entity 60 as one completed job, or portions of the job results 70
may be periodically or continuously streamed from the coordination server
application to the job submitting entity as task results 68 are received from
the
ATMs 54.
Figure 3 shows a schematic view of the exemplary server computing
system 56 and an exemplary ATM 10. The server computing system 56
includes at least one server computer processor 55. As discussed previously,
the server computing system 56 includes a coordination server application 54.
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The coordination server application 54 may be operative in the at least one
server computer processor 55. In addition the exemplary server computing
system 56 includes at least one data store 80 in operative connection with the
server computer processor 55. The coordination server application 54 may be
operative to cause the server computer processor 55 to store and retrieve data
in the data store 80.
The coordination server application 54 may be operative to store job
data 82 in.the data store 80 which describes each processing job received by
the job submitting entities. Further the coordination server application 54
rnay
be operative to store in the data store 80 task data 86 in association with
the
job data 82 which describes tasks which comprise the processing job. In
addition the coordination server application may be operative to store in the
data store 80, ATM data 84 in association with the task data 86 which
identifies which ATM has been sent the task to process. In one exemplary
embodiment, each processing job may be associated with a JobID number 88,
each task may be associated with a TaskID number 92, and each ATM may be
associated with an ATMID number 90.
As shown in Figure 3, each ATM 10 includes at least one computer
processor 100. The computer processor 100 may be in operative connection
with at least one output device 150 such as a display device. The computer
processor may also be in operative connection with at least one input device
152 such as a key pad, function keys, or touch screen. In the exemplary
embodiment, the ATM I O further includes a processing client application 102
that may be operative in the computer processor 100. The exemplary
processing client application 102 may be operative to communicate with the
coordination server application 54 for purposes of receiving tasks 66 and
returning the task results 68. In addition the processing client application
102
may be operative to manage the processing of tasks by the computer processor
100 of the ATM 10.
In one exemplary embodiment the processing client application 102
may be operative to communicate with consumer interface applications 104
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which are operative in the computer processor 100. Such consumer interface
applications 104 are responsible for enabling the ATM 10 to interact with
consumers and perform transaction functions. The consumer interface
applications 104 are in operative connection with a plurality of transaction
S function devices 106 such as the previously described cash dispenser 20,
depositor 22, and card reader 26.
In the exemplary embodiment, the processing client application I02
may be responsive to the consumer interface applications 104 to control when
tasks are processed by the computer processor 100. For example, when the
10 ATM 10 is being used by a consumer, the exemplary processing client
application 102 may be operative to detect this condition through
communication with the consumer interface applications 104 and as a result
stop, pause, or slow the amount of processing resources of the computer
processor that are devoted to processing the task 66. When the ATM is
I S generally idle, the exemplary processing client application 102 may be
operative to detect this condition through communication with the consumer
interface applications I04 and as a result start, un-pause, or increase
processing resources of the computer processor 100 that are devoted to
processing the task.
In an exemplary embodiment, the computer processor 100 may be in
operative connection with a data store 108. The exemplary processing client
application 102 may be operative to store in data store 108 task infornlation
.110 which describes tasks received by the coordination server application 54.
As tasks are processed by the computer processor 100, the exemplary client
application 102 may be further operative to store in data store 108 processing
time duration information 112 in association with the task information 110.
The duration information 112 corresponds to the amount of processing time
the computer processor 100 has spent actively processing a task. For
example, when the exemplary ATM is idle for 30 minutes of an hour, and that
entire 30 minutes is devoted to processing a task, the duration information
112
would associate 30 minutes of processing time with the task information 1 IO
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corresponding to the task being processed by the ATM.
In the exemplary embodiment, a task may require further processing
applications which correspond to the type of task being processed. For
example a task corresponding to a digital signal processing calculation may be
associated with data which describes a signal and data which describes
calculations to be performed on the signal. However, to process the signal
according to the calculations, the exemplary ATM may require task specific
processing components 120 such as server applets, functions libraries,
subroutines, software objects, classes, scripts, DLLs, Java applets, Java
beans,
COM objects, ActiveXs, .Net objects, CORBA objects, or any other software
component wuicli can be used by the processing client application 102 to
process the task. In an exemplary embodiment, the processing client
application 102 may be responsive to the task data and other task instructions
to cause one or more of a plurality of processing components 120 to process a
task. Each of the exemplary processing components are responsive to the
processing client application 102 to start and pause the pr ocessing of tasks
so
that the tasks are generally only processed when the ATM is idle.
Examples of pr ocessing components 120 include image rendering
applications 122, digital signal processing applications 124, numerical
processing applications 126, database mining applications 12$, and finite
elemental analysis applications 132. In an exemplary embodiment, the
processing components 120 may be pre-installed in a data store of the ATM.
However, in alternative exemplary embodiments, received tasks from the
coordination server application may include one or more processing
components that are operative to process the task. For example, a digital
signal processing task may include both signal data to be processed and a
custom processing component or application 130 that may be operative to
execute in the computer processor responsive to the processing client
application 102. The exemplary custom processing component 130 may be
operative to process the signal data or other data associated with the task or
related tasks which are received by the ATM I O from the coordination server
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application 54.
In the exemplary embodiment the processing components 120 may
include object code or libraries which are operative to execute in the
computer
processor 100 natively. In further exemplary embodiments, the processing
components 130 may include interpreted code such as Java~ applets or Java
beans which are operative to run within another application such as a Java
Virtual Machine. In other exemplary embodiments, the processing
components may be comprised of a common intermediate language (CIL)
such as a'.Net application object which may be just-in-time (JIT) compiled at
the ATM prior to executing in the computer processor of the ATM. In further
exemplary embodiments, the tasks may include processing components which
are self contained and are not operative to process external data. For
example,
a task to render an individual clip from a movie may be comprised of a
processing component 120 that includes compiled code for performing ray
tracing calculations which define the image. Any data which describes the
locations of objects and light sources for the image, may be encapsulated
within the processing component.
To prevent the spread of malicious viruses and worms in ATMs, the
exemplary processing components may be digitally signed and be associated
with digital certificates. The digital signature and digital certificates may
be
used by the ATM to validate that the processing components originate from a
trusted source of processing components. Also, the ATM may be operative to
execute the processing components in a secure runtime environment such as a
virtual machine or sandbox. Such a secure runtime environment may iilclude
sufficient security to prevent a malicious processing client from accessing
transaction functions devices such as a cash dispenser.
In the exemplary embodiment, as tasks are completed, the processing
client application 102 may be operative to send the task results b8 to the
coordination server application 54 and receive additional tasks for processing
by the computer processor 100. The processing client application 102 may be
further operative to forv~~ard to the coordination server application the
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processing duration 112 associated with the processing of a task. When aII or
a portion of the tasks have been completed, the exemplary coordination server
application may be operative to forward the job results to the job submitting
entity.
S In the exemplary embodiment, the coordination server application 54
may be operative to cause fees to be assessed to a job submitting entity for
the
amount of ATM processing power time used to process a processing job 64.
The coordination server application may be operative to calculate a total of
the
processing durations 94 associated with all of the taslcs 86 of a processing
job.
This total amount of processing time for a processing job may then be billed
to the entity submitting the task.
For example, the exemplary system may be accessed by a job
submitting entity such as a movie production company to render the individual
movie frames of an animated film. In this described embodiment, the
processing job corresponds to the rendering of the movie, and the individual
tasks con espond to one or more individual frames of the movie. If a
hypothetical average processing time for each frame of the movie by ATMs is
one hour, then a 90 minute animated film comprised of 162,000 images would
require 162,000 ATM hours to render. If the coordination server application
is in operative connection with 10,000 ATMs which are idle 75% of the time,
the system could render the movie in 21.6 hours (1/.75 * 162,000/10,000).
The job submitting entity, or in this case the movie production company,
could be charged a processing fee based on the total number of ATM hours
used to process the job (i.e. the 162,000 ATM hours). In exemplary
embodiments such a processing fee may be based on a negotiated price per
ATM hour.
In exemplary embodiments the system may charge fees based on a flat
rate of monetary value per an amount of processing time used on a processing
job. In addition, exemplary embodiments of the system may charge fees
based on the number of ATMs devoted to a processing job. For example the
fee rate for using 10,000 ATMs on a processing job may be higher or lower
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then the fee rate for using 100 ATMs on a processing job. Also, the fee rate
for using slower model ATMs for a processing job may be different than the
fee rate for using faster ATMs on a processing job. In the exemplary
embodiment, the coordination server application may further be operative to
calculate the fees for processing a job submitted by a job submitting entity.
ATMs being used to process a single job may not all have equivalent
processing power.
For example older model ATMs may be relatively slow at processing tasks
compared to new model ATMs with modern computer processors. If all ATM
hours are treated equal, a given j ob would take more ATM hours to complete
using slower ATMs, than faster- ATMs. As job submitting entities may not
want to pay higher processing fees when portions of a job are processed by
slower ATMs, the exemplary coordination server application or other server
software with access to the duration data for task results, may be operative
to '
noin~alize the duration data responsive to the relative processing speed of
the
ATMs.
For example, if a hypothetical slow ATM is operative to complete a
given task in two hours and a hypothetical fast ATM is operative to complete
the same given task in half an hour, the exemplary system may be operative to
normalize the slower processing duration time data and/or the faster
processing duration time data relative to a selected perfornzance baseline.
The
duration times for slower ATMs would be normalized downward based on the
selected performance baseline and duration times for faster ATMs would be
normalized upward based on the selected performance baseline. For example,
if one hour is selected as a performance baseline for the same given task,
duration times for the slower ATMs could be halved and duration times for
the faster ATMs could be doubled to produce normalized processing duration
times for both types of ATMs. The normalized duration times may then be
summed to determine a normalized number of ATM hours to complete the
job. The processing fee charged to the processing fee entity may then be
based on the total normalized number of ATM hours rather than the total of
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actual ATM hours to complete the job.
As the relative difference between the processing speed of different
models or types of ATM systems may depend on the types of processing
tasks, the exemplary system may be operative to sample the different relative
5 processing speeds of different models or types of ATMs using designated
sample tasks from the job. For example, if a job is comprised of one million
tasks, the exemplary coordination server application may allocate a small
subset of test tasks selected from the one million tasks to be given to a
subset
of all of the ATMs. The subset of ATMs selected may include ATMs that
i 0 represent the different models or types of ATMs that will be used to
process
the entire job. The duration times to complete the test tasks for each of the
different models or types of ATMs may then be compared to determine
coefficients, factors or other normalizing data which may be used to normalize
the durations of the task results submitted for similar models or types of
15 ATMs. For example, each individual duration time may be normalized first
and then summed to determine a normalized amount of ATM hours to base a
processing fee for the job. In other embodiments, the actual duration times of
tasks for each model of ATM may be separately totaled for a job. When the
job is completed, these separate duration totals for each ATM model may be
normalized responsive to the normalizing data for each model of ATM. The
normalized duration totals for each type of ATM may then be summed to
determine a normalized amount of ATM hours to base a processing fee for the
job.
Figures 4 and 5 show an example of normalized data for a hypothetical
job which may be determined by the coordination server application 54 and
stored in the data store 80.
As shown in Figure 5, the hypothetical job is comprised of seven tasks 220.
The exemplary coordination server application may be operative to select a
subset of the tasks for use as test tasks to determine the relative processing
capabilities such as processing speeds for models of ATMs that will be used to
process the job. In this example, TaskID 6 is chosen and is communicated to
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the processing client applications of five different models of ATMs which will
be used to process the job. Figure 4 shows the duration times 200 to complete
TaskID 6 for each of the five ATM models (A-E) 202. In this example the
normalizing baseline is selected to correspond to a duration equal to the
fastest
time submitted by the different models of ATMs. In this case the duration
time of 0.5 hours for ATM model C is selected for the baseline. However, it
is to be understood that the baseline chosen to normalize duration times may
be a different slower or faster time duration. For example, with other jobs
the
baseline may correspond to: the duration time for the slowest ATM (ex. 4 hrs
I O for ATM model E); the average or mean duration time for the different
models; or some other selected duration time.
Based on a selected baseline of 0.5 hours, Figure 4 shows normalizing
data such as normalizing factors 204 that the coordination server application
may determine responsive to the selected baseline duration and the sample
duration time results for the test task. Such normalizing factors may be used
by the coordination server application to normalize the duration times
returned
by ATMs to process the tasks for the job.
Figure 5 shows an example listing 218 of hypothetical job results for
the seven tasks 220 that comprise the job. In this example the coordination
server application divided the task among seven different ATMs 224. The
listing includes the actual duration times 222 reported by the ATMs 224 to
complete their designated task. The listing also includes the corresponding
ATM models 226 for the ATMs 224.
lii this example, the exemplary coordination server application may be
operative to normalize the actual duration times 222 responsive to the
normalizing factors 204 determined previously and shown in Figure 4. In this
example the normalized durations 228 are calculated by multiplying the actual
duration times 222 by the normalizing factor 204 which corresponds to the
matching model of ATM that processed the task. The exemplary coordination
server application may sum the nonmalized durations 228 to determine the
nornialized number of ATM hours 230 it took to complete the job. Processing
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fees may then be based on the normalized total of ATM hours 230 to complete
the job rather than the actual total of ATM hours 232 to complete the job.
Without normalizing the ATM hours, job submitting entities may demand that
only the fastest model ATMs (such as ATM model C) be used. By
normalizing the processing durations, the slower ATMs (such as ATM model
E) may still be utilized to process portions of the jobs without inflating the
processing fees charged to the job submfitting entity.
As discussed previously, in other embodiments, the coordination
server application may determine separate totals of the actual duration times
222 for each of the five models of ATMs used to process the job. Such
duration time totals for each ATM model may then be normalized responsive
to the normalizing factom 204 prior to being summed for determining the total
nornlalized ATM hours for the job
In other embodiments, other methods of compensating for the
differences in processing ability between different models or types of ATMs
may be used. For example, different processing fee rates fox each type of
model may be used to calculate the total processing fee. Such different
processing fee rates may be calculated based on the sample task duration
times 200 and/or the normalizing data 204 determined for the different ATM
models 202. For example the processing fee rate for the use of model B
ATMs may be set at half the processing fee rate for model C ATMs because
the processing speed of model B ATMs is determined by the coordination
server application to be half the speed of the model C ATMs. The different
processing fee rates may than be used to calculate separate processing fees
for
2S each model of ATM used to process portions of the job. As discussed
previously, the exemplary coordination server application may derive separate
duration time totals for each model of ATM. These separate duration time
totals for each ATM model may then be multiplied by their respective
processing fee rates to determine processing fees for each portion of the job
processed by the various models of ATMs.
Before submitting a processing job, job submitting entities may wish
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to have an estimate of the number of ATM hours and/or processing fees that
may be associated with the processing of a job. As the costs associated with
all the individual tasks that make up a job may not be readily calculated
prior
to processing a job, the exemplary coordination server application 54 may be
operative to generate estimates of the amount of processing time and fees that
will be required to complete a submitted processing job.
As discussed previously with respect to calculating the relative speed
of different models of ATMs, the exemplary coordination server application
may be operative to submit to one or more ATMs, a small subset of one or
more test tasks selected from the many tasks that comprise the processing job.
These test tasks may also be used to estimate an amount of processing time or
ATM hours required to perform the job. Based on this estimate of ATM
hours, the exemplary coordination server application may be operative to
estimate the total amount of processing time and costs required to complete
the processing jab. This estimate may be forwarded to the submitting entity
by the coordination server application 54 for evaluation prior to purchasing
access to the exemplary system for processing a proposed job.
In further exemplary embodiments, the coordination server application
may be operative to select which ATMs to send the tasks based on the
bandwidth requirements of the tasks. For example, tasks which are comprised
of a large number of bytes or produce taslc results with a large number of
bytes
may only be allocated to those ATMs which have a relatively fast network
connection to the coordination server application such as a DSL, T1, or high
bandwidth leased connection. Tasks associated with a relatively small number
of bytes which must be transferred between the ATM and the coordination
server application, may be allocated to those ATMs which have a relatively
slower network connection such as a dial-up phone line. The coordination
server application may also charge different processing fee rates for
different
sets of ATMs based on the relative speed of the network connection of the sets
of ATM.
It is to be understood that exemplary embodiments of the system may
CA 02507777 2002-03-12
19
be used to process other types of jobs that may be divided into a plurality of
tasks. Otlier examples of processing jobs may include processing a spectrum
of measured signal data, where each task includes the numerical processing of
individual segments of band width of the signal data. Other processing jobs
may include calculating data using a specified function, wherein each task
includes a different set of arguments to the function. Further, other jobs may
involve finite elemental analysis calculations and modeling with each task
corresponding to different sets of constraints. Other exemplary embodiments
may include cryptography calculations such as unencrypting data, where each
tasks corresponds to one or more different keys which are used to attempt to
decipher the data.
W further exemplary embodiments, the coordination server application
may be operative to generate additional tasks based on the results of
processed
tasks. For example a job may include a mufti-step process calculation. As a
result a first'set of ATMs may be given tasks for processing a first portion
of
the calculation. The results of those tasks may be organized into new tasks by
the coordination server application and submitted back to the first set of
ATMs or to a second set of ATMs to calculate a second portion of the
calculations. The exemplary coordination server application may be operative
to manage multiple iterative and/or recursive calculations of a processing job
by routing tasks and the results of tasks among a plurality of ATMs for
processing.
In further exemplary embodiments, the ATMs may be operative to
forward tasks and results of tasks to other ATMs through a peer to peer
network configuration. ATMs may spawn off one or more tasks to one or
more other ATMs directly rather then requiring the coordination server
application to manage the distribution of all tasks to ATMs. The ATMs may
also be operative to pass messages, task results, and/or processing components
between themselves to facilitate processing tasks.
In further exemplary embodiments, individual ATMs may be operative
. to receive processing jobs from users through the input devices of the ATM
CA 02507777 2002-03-12
terminals. The processing jobs may be forwarded to the coordination server
application by the ATM. The coordination server application may then divide
the job into a plurality of tasks and distribute those tasks to a plwality of
ATMs to process. As discussed preciously the results of the tasks may be
5 returned to the coordination server application and forwarded to an e-mail
address or other network accessible address supplied by the user that
originally submitted the job through an ATM.
In addition the coordination server application may store the results in
a data store. When the user wants to review the job results he may return to
10 the original or another ATM. The ATM may enable the user to submit a
command or request message through operation of the ATM which is
operative to cause the job results to be retrieved from the data store and be
forwarded to the ATM by the coordination server application. The ATM may
then be operative to output the job results for the user through the display
15 device of the ATM or a printer. In addition, as schematically shown in
Figure
3, the ATM may include a separate portable storage medium drive 154 that is
operative to read and/or write information to a portable storage medium. Tn
other exemplary embodiments, the card reader 26 may function as a portable
storage medium drive that is capable of reading and writing information
20 related to processing jobs from a smart card or other memory card which is
operate to store information. Such card reader may be operative to read
financial account information from a financial account card, retrieve
processing jobs from the smart card and save processing job results back to
the smart card.
In other exemplary embodiments the ATM may include other types of
portable storage medium drives 154 such as an Iomega JazCB~ drive; magneto
optical drives such as an Iomega Zips drive; flash memory drives for writing
to flash memory devices such as CompactFlash and Sony Memory Stick; PC
Card Interfaces; CD drives, DVD drives; Mini-CD drives; and digital tape
drives. The exemplary embodiment of the ATM may also include a wired or
wireless conununication port 156 that is operative to communication with a
CA 02507777 2002-03-12
21
portable computing device such as a mobile phone, notebook computer, or a
PDA. The ATM through operation of the communication port may be
operative to receive processing jobs and send the results of the processing
jobs
to the portable computing devices.
In other embodiments, the user may access any of the plurality of
ATMs in operative connection with the coordination server application to
retrieve the job results from the coordination server application. In a
further
exemplary embodiment, the coordination server application may be operative
to provide access to the job results through an HTTP server such as an
Internet
web server which is in operative connection with the coordination server
application and/or data store. Users may than log into the web server to
retrieve the processing job results stored in the data store by the
coordination
server application.
The processing fees used to pay for processing the job may be
collected from the user through operation of the ATM. For example, the
ATM may prompt the user to insert a credit card, debit card, checking account
card, or other financial account card into a card reader of the ATM. The ATM
may cause the card reader to retrieve the necessary account information from
the card for purposes of assessing processing fees to the financial accounts
associated with the cards. In an exemplary embodiment, the ATM may be
operative to assess processing fees to a financial account of the user through
communication with a financial transaction processing computer or system
which is operative to carry out financial transfers and authorizations.
The processing fees may be charged either before or after the
processing job has been completed. As discussed previously, the processing
fees may be determined prior to the completion of the job, by processing
portions of the job to determine an estimate of the amount of processing time
the entire job will require. Such processing fees charged to the user's
financial
account may then be based on the estimate for the processing time to complete
the job. In other exemplary embodiments, the processing fees may be based
on a flat rate or other rate responsive to the type of the processing jab
and/or
CA 02507777 2002-03-12
22
the processing parameters selected by the user. For example ATMs may be
operative to output through a display device a menu which lists a plurality of
different types of processing jobs. One or more of the different types of
processing jobs may then be selected by the user through operation of the
input devices of the ATM. Parameters for performing the selected type of
processing job may then be inputted through the input devices of the ATM
and/or be retrieved from a portable storage medium or a portable computing
device of the user. The fees charged to the user's financial account may be
based on the selected type of processing job and/or the inputted parameters
used in processing the job.
For example, the user may wish to perform data mining on one or
more databases. An exemplary embodiment of the ATM may be operative to
output one or more menu screens that include a listing of different databases
that are available for data mining through the ATM. Databases for example,
may include census data, genome sequencing data, financial data, or any other
large database of information wluch users may find useful for data mining
processing.
The ATM may further provide one or more screens that prompt the
user to provide parameters to be used in performing the data mining
processing in the selected database. Examples of parameters used in data
mining processing and other processing jobs may include individual
parameters such as date ranges and geographical regions. The processing fees
charged to the user's financial account by the ATM may be based on the
particular database selected and/or the type of parameters selected. For
2S example, processing fees involving database mining through a database of
census data may cost less for a parameter associated with an individual state
compared to a parameter associated with all of the United States.
To provide more complex parameters involved with the data mining,
the ATM may be operative to retrieve the parameters from a portable storage
medium or portable computing device of a user. Examples of other more
complex parameters may include expert system evaluation trees, statistical
CA 02507777 2002-03-12
23
algorithms, or other data, which may be used to analyze or process data in the
selected database. In other exemplary embodiments, the ATM may be
operative to retrieve from a portable storage medium of the user, a plurality
of different types of processing components, databases, images, or other
objects may be used by the coordination server application, and/or ATMs to
process the requested job.
Examples of other processing jobs that may be initiated through an
ATM or through the coordination server application, may include searches for
individuals using the ATMs. For example, as shown in Figure 1, an ATM
may include a camera 15 that is operative to capture image data of the person
operating the ATM. The image data captured by the camera of the ATM may
include images in the form of video frames and individual image files. The
captured ATM image data may be processed by an exemplary embodiment of
the system fc~r use with identifying or finding people.
As shown in Figure 6, an exemplary server 300 is in operative
connection with a plurality of ATMs 302. The server 300 may include the
previously described coordination server application 306, and a data store
308.
Each of the ATMs 302 may include a camera 304 which is operative to
capture image data of the users operating the ATMs. In an exemplary
embodiment the ATMs 302 may be operative to send one or more captured
ATM image files or video frames of the user to the coordination server
application 306 or some other server application of the server 300 for storage
in the data store. Such ATM image data may be stored in association with
transaction data associated with the operation of the ATM by the user. Such
transaction data may include the location of the ATM where the image data
was captur ed and the date and time the image data was captured. In addition
the transaction data may include the account numbers associated with the card
or cards used to access the machine and the types of transactions performed at
the ATM. The transaction data may further include information about the
financial accounts associated with the account numbers, such as the names
and addresses of the account holders.
CA 02507777 2002-03-12
24
Job submitting entities such as law enforcement individuals or other
individuals may submit processing jobs 312, 314 through one of the ATMs
302 or through a public network such as the Internet 310 to the coordination
server application 306. Such processing jobs may include one or more images
of people to search for from among the people pictured in the captured ATM
images. Searches may involve comparing the received search image data
showing a known or suspected criminal or terrorist to the image data captured
by the ATMs. The tasks involved with the processing job may correspond to
perfomning imaging processilig functions on the ATM image data which are
operative to quantify characteristics of the users shown in the ATM image
data.
In an exemplary embodiment, the coordination server application 306
may divide the image processing of the ATM images data among the plurality
of ATMs 304. As a result each ATM would receive copies of one or more of
the previously captured ATM image files from the data store 308 and a copy
of one or more search image files from the subnutted processing job. Each
individual ATM rnay then perform image analysis calculations on the AT'M
image data and search image data to determine if the indi~~iduais shown in the
ATM and search image data are similar. Task results 316 returned to the
coordination server application 306 by the ATMs 302 may include data which
indicates a level of correlation or similarity between the person shown in the
ATM image data and the person shown in the searcli image data. The results
of the precessing job may include a listing of matching image files captured
by the ATMs and portions of the associated transaction data such as the date
and time the image was captured, the location of the ATM, the financial
accounts accessed, and the account holder name associated with the financial
accounts accessed.
In another exemplary embodiment, the ATMs 302 may be operative to
process the ATM image data prior to forwarding the ATM image data to the
coordination server application 306 for storage in the data store 308. Such
processing may include determining identity data from the ATM image data.
CA 02507777 2002-03-12
The ATM identity data may quantify identifying features of the person
depicted in the ATM image data such as hair color, facial hair, baldness, eye
color, skin color, height, scars, and facial measurements. Facial
measurements, for example, may include measurements related to features of
5 the individuals face such as the relative positions and distances between
the
eyes, nose, mouth, neck, ears, and hairline of the individual. These
measurements or other identifying data determined from the image data may
be submitted to the coordination server application 306 for storage in the
data
store 308 along with the associated ATM image data and the associated
10 transaction data.
When a processing job is received related to searching through the
ATM image data for a particular person, the coordination server application
306 may search tluough the data store 308 and select only those ATM image
files and transaction data from the data store 308 that are associated with
I S similar identity data as the person being searched for. Because the ATM
image data has been previously processed, the coordination server application
can quickly select one or more records from the data store 308 which include
ATM identity data with features and measurements that correspond to the
features and measurements of the identity data of the person being searched
20 for.
For example, a job submitting entity such as a police officer may
submit a processing job that corresponds to a search for a person. The
processing job may include search image data such as an image file of the
person which is uploaded to the coordination server application 306. The
25 coordination server may then process the uploaded image of the person to
determine corresponding search identity data associated with the person being
searched for. The search identity data from the search image data may then be
compared to the plurality of records in the data store which include ATM
identity data corresponding to users of ATMs. Matching ATM image data
and associated transaction data may then be returned to the police officer or
other job submitting entity for further analysis.
CA 02507777 2006-03-16
26
In further exemplary embodiments, the coordination server may accept
search identity data directly from the job submitting entity which corresponds
to the person being searched for. In other exemplary embodiments, the
coordination server may accept both search image data and additional searcli
identity data corresponding to the person. For example the submitted search
image data may include a black and white image file. The job submitting
entity may also, submit search identity data with the search image data which
describes features that can not be determined from the black and white image
such as eye and hair color of the person shown in the black and white image
file.
In one exemplary embodiment the search image data may be received
by the coordination server application from a remote client computer 318.
Such a remote client computer may be in communication with the
coordination server application 306 through an Internet web server or through
~ e-mail for example. In another exemplary embodiment, the search image data
may be uploaded to the coordination server application tlwough operation of
one of the ATMs 302. As discussed previously, an exemplary ATM may
include a portable storage medium drive. The ATM may retrieve search
image data such as a search image file from a portable medium placed in
operative connection with the portable storage medium drive. 'In other
exemplary embodiments the ATM may retrieve the search image file from a
portable computing device placed ~in operative connection with the ATM by
the user. In other exemplary embodiments, the ATM may include a scanning
device which is capable of capturing a search image file from a physical
photograph.
When the coordination server application has completed searching the
data store 308 of captured ATM images which match the submitted search
image, the job submitting entity may send a request message to the
coordination ser\~er which is representative of a request to return the
results of
the search. In response, the coordination server may return search results
data
which includes the results of the search. Such results may include
CA 02507777 2002-03-12
27
information about the determinations made by the coordination server when
performing the search. Such determinations may include a listing of those
captured images which most closely match the search image. The
determinations may further include a ranking of the matching ATM image
data which is based on the relative similarity between the ATM image data
and the search image data. Such a ranking for example may be based on the
percentage of identity data of the captured images which corresponds to the
search identity data of the search image. In addition the search results data
may include one or more ATM image files or video frames and at least
poutions of the transaction data associated with the ATM image data.
In an exemplary embodiment, the search r esults data may be retrieved
from the coordination server by accessing one of the ATMs 302. Exemplary
embodiments of the ATMs may enable a user to send a request message to the
coordination server which corresponds to a request to send the search result
data to the requesting ATM. In an exemplary embodiment, the ATM may
output the images and associated transaction data through an output device of
the ATM such as a printer or display screen. Also the exemplary embodiment
of the ATM may save the search results to a portable storage medium or to a
portable computing device of the user.
In other exemplary embodiments, search results data may be sent by
the coordination server application to ame-mail address or other network
accessible address specified by the user when the search image data was
submitted to the coordination server. In further exemplary embodiments, the
coordination server may be in operative connection with an HTTP server
which is operative to send the search results as part of a web page to a
browser
of a remote computer.
In an exemplary embodiment, the ATM image data may be processed
by the ATMs to determine ATM identity data prior to uploading to the
coordination server. In other exemplary embodiments the coordination server
may process the ATM image data to determine the ATM identity data. In
further exemplary embodiments, the processing of the ATM image data may
CA 02507777 2002-03-12
28
be perfornzed by both the coordination server and the ATM. In addition, in
further exemplary embodiments, the coordination server may allocate to a
pluralit)r of the ATMs, tasks which include ATM image data to process. The
task results returned to the coordination server may include ATM identity data
determined from the captured ATM images.
In this described exemplary embodiment, the search image data does
not correspond to a user who is authorized to perform transaction functions at
an ATM. In addition the search image data does not originate from a camera
of an ATM and does not co~Tespond to a person who is being searched for
from among ATM image data to detei7nine if the person is authorized to
perfom transaction functions at an ATM. Also, authorizations of transactions
at ATMs are not performed responsive to matches between captured ATM
image data of the user and search image data. Rather transactions by a user at
exemplary embodiments of the ATMs are authorized without reference to the
search image data. Sucli transactions for example may be authorized by the
user entering a PIN number or a biometric data which is validated by the
system independently of the search image data. In the exemplary
embodiment, the search image data is not used by the system to validate or
authorize transactions at ATMs by users.
In a further exemplary embodiment, a processing job may correspond
to an ongoing search for one or more particular individuals that use an ATM
in the future. For example, a processing job may include search image data
such as an image file and/or identifying features of a person to search for.
However rather than or in addition to searching through a pre-existing data
store of ATM image data, the coordination server application may continually
monitor all newly captured ATM image data and/or ATM identity data
determined from the newly captured ATM image data far matches with the
person being searched for as part of the processing job. Thus for example, if
a
governmental entity such as a law enforcement entity is searching for a
suspected terrorist or a missing person, the search image data showing the
person and/or search identity data associated with the person may be
CA 02507777 2002-03-12
29
continually compared to all or a subset of the newly captured ATM image data
or determined ATM identity data. When a match is found between ATM
image data of a user operating an ATM and the sear ch image data of the
person being searched for, the exemplary coordination server application may
be operative to send the search results data in the form of an alert or
warning
message to an address associated with the search. Such an address for
example may be an e-mail message or other communication address of the
entity that, submitted the search. The alert message may include captured
ATM image files or video and the date, time and location of the ATM where
the ATM image was captured. The alert message may further include the
name of the account holder or other transaction data associated with the
financial account being used by the person at the ATM.
In exemplary embodiments, the processing job may include parameters
to be used when performing the search of ATM image data. Such parameters
may liW it the search to ATM image data from a specific geographical location
andlor time period. Such parameters may further specify which of a plurality
of determined ATM identify data to limit the search. For example, ATM
image data may be processed to determine ATM identity data such as hair
color, facial hair, baldness, eye color, skin color, height, scars, and facial
measurements. The parameters included in a processing job may limit which
identity features are evaluated or may assign weighing factors as to which
identity features are more or less important when calculating whether ATM
image data should be considered a match by the system.
In addition to performing image analysis on image data captured from
users of ATMs, exemplary embodiments the system may further process other
types of images or other types of data captured from ATMs. For example, the
depository mechanisms of ATMs may include cameras or other sensors which
are operative to caphire image data or other measurable data from items
deposited into the ATM. Such items may include monetary instruments such
as checks, currency, coins, or other items which are deposited into an ATM.
The ATM which receives the deposited item may itself process the captured
CA 02507777 2002-03-12
image data or other measurable data by the ATM. ui addition the ATM may
uploaded the image data or other measurable data to a remote sen~er for
processing by the remote server or other ATMs.
The processes performed on such image data or other measurable data
5 may include handwriting analysis such as cursive signature analysis of the
signatures written on checks deposited with the ATM. Processes may also
include analysis of deposited monetary instruments such as cash for
indications whether the item is a forgery.
As discussed previously, such processes may be performed while the
10 ATM is generally idle and is not being used to perform consumer transaction
functions. The results of the processing may then be uploaded to a remote
server application such as the previously described coordination server
application for storage in one or more data stores and for routing to other
computer systems.
15 Thus the new ATM processing system and method achieves at least
one of the above stated objectives, eliminates difficulties encountered in the
use of prior devices and systems, solves problems and attains the desirable
results described herein.
In the foregoing description certain terms have been used for brevity,
20 clarity and understanding, however no unnecessary limitations are to be
implied therefrom because such terms are used for descriptive purposes and'
are intended to be broadly construed. Moreover, the descriptions and
illustrations herein are by way of examples and the invention is not limited
to
the exact details shov~m and described.
25 In the following claims any feature described as a means for
performing a function shall be construed as encompassing any means known
to those skilled in the art to be capable of performing the recited function,
and
shall not be limited to the features and structures shown herein or mere
equivalents thereof. The description of the exemplary embodiment included
30 in the Abstract included herewith shall not be deemed to limit the
invention to
features described therein.
CA 02507777 2002-03-12
31
Having described the features, discoveries and principles of the
invention, the manner in which it is constructed and operated, and the
advantages and useful results attained; the new and useful structures,
devices,
elements, arrangements, parts, combinations, systems, equipment, operations,
methods and relationships are set forth in the appended claims.
