REAL-TIME FISHING CONDITIONS OPTIMIZATION SOFTWARE AND INFORMATION MAPPING, MANAGEMENT AND VISUALIZATION SYSTEM

LOGICIEL D'OPTIMISATION DE CONDITIONS DE PECHE EN TEMPS REEL ET SYSTEME DE CARTOGRAPHIE, GESTION ET VISUALISATION D'INFORMATION

English Abstract

RTFISH is an integrated field (app) and online software (computer) solution
designed to alert and help fisherman determine the optimal times and
locations where to fish, for a specific species of fish. RTFISH mathematically
analyzes real-time and historical water and weather data and compares
physical and species-specific biological preferences to calculate the
probabilities of a stream, river, lake, reservoir or any monitored body of
water, meeting the ideal fishing conditions for any given species of fish.
Traditionally, fisherman have relied on local contacts, or their own personal
knowledge of a body of water, to plan for a fishing trip that yields strong
numbers of hookups. With RTFISH, any fisher person now has the ability to
predict the probability of ideal fishing conditions and locations based on
scientific and mathematically-based calculations. This removes the guess-
work when predicting the best times and locations to fish based on fishing
conditions and provides fisher people with the knowledge to more effectively
plan their next fishing trip and prepare themselves with the right baits and
fishing techniques necessary to improve their fish catch/hook-up ratio.
RTFISH also provides the platform for social sharing of fishing photos and
associated meta data for future use and based on user-preferences defined
by the user.
RTFISH combines multiple visuals into a single graphical user interface,
complete with real-time water condition graphs, fish success prediction
charts,
location maps, optimized tackle selections and real-time social media feeds.

RTFISH is an integrated field (app) and online software (computer) solution
designed to alert and help fisherman determine the optimal times and
locations where to fish, for a specific species of fish. RTFISH mathematically
analyzes real-time and historical water and weather data and compares
physical and species-specific biological preferences to calculate the
probabilities of a stream, river, lake, reservoir or any monitored body of
water, meeting the ideal fishing conditions for any given species of fish.
Traditionally, fisherman have relied on local contacts, or their own personal
knowledge of a body of water, to plan for a fishing trip that yields strong
numbers of hookups. With RTFISH, any fisher person now has the ability to
predict the probability of ideal fishing conditions and locations based on
scientific and mathematically-based calculations This removes the guess-
work when predicting the best times and locations to fish based on fishing
conditions and provides fisher people with the knowledge to more effectively
plan their next fishing trip and prepare themselves with the right baits and
fishing techniques necessary to improve their fish catch/hook-up ratio.
RTFISH also provides the platform for social sharing of fishing photos and
associated meta data for future use and based on user-preferences defined
by the user.
RTFISH combines multiple visuals into a single graphical user interface,
complete with real-time water condition graphs, fish success prediction
charts,
location maps, optimized tackle selections and real-time social media feeds.

Description

CA 02860278 2014-08-21
BACKGROUND OF THE INVENTION
Fishermen invest a great deal of time and money into improving their fishing
experience which depends heavily on the quality and volume of fish caught
during any given fishing trip, couple with the overall outdoor experience.
= Fisherman rely on word-of-mouth and personal experience to plan
for optimal times to fish and to maximize their fish-catch ratio.
= Not all fisherman understand biological factors that directly impact
fishing success.
= Many fisherman lack the scientific background to formulated optimal
times and best locations to fish based on available water parameters
collected in the field.
= People new to fishing, or fisherman new to a region, do not know
where to fish - it takes time to build a network and gain trust.
= There is no lack of data, there is lack of easy-to-understand and
accessible data
= Success hinges on historical and real-time data and a technical
understanding of the target species!!!
SCIENTIFIC INFLUENCES AFFECTING FISHING SUCCESS
= Geographic presence, or absence, of fish species in body of water
(native, stocked, invasive)
= Feeding habits (time of day, time of year, presence of new food
sources, seasonal hatches, seasonal spawning runs, etc)
= Physical conditions (water temperature, dissolved oxygen, turbidity,
velocity, conductivity, salinity, weather, ice, depth)
= Seasonal Influences (moon phase, hours in a day, ambient
temperatures, etc)
= Baits (type, style, size, color, smell, action)
= Presentation (fly, trolling, casting, still, etc.)

CA 02860278 2014-08-21
SUMMARY OF THE INVENTION
RTFISH is a fully-integrated field and software solution comprised of two
distinct software components. The first component is a handheld application,
the second component is a website interface. For the purpose of this patent,
the handheld component will be referred to as RTFISHPocket. For the
purpose of this patent, the website interface will be referred to as
RTFISHWeb. Both components together will be referred to as RTFISH.
RTFISHPocket is designed to operate on any IOS or mobile platform.
RTFISHPocket uses the built-in capabilities of the mobile device (i0S,
Android, Blackberry) to attached meta data such as:
= geographic coordinates (on river, stream, lake, body of water)
= time photo was taken
= date photo was taken
= fish species captured in photo
= # of fish species caught in photo (when multiple fish are captured)
= estimated size of fish species capture (using distance triangulation)
= geo-referenced waypoint.
RTFISHPocket stores the associated meta data on the handheld device until a
network or wifi connection is secured; at which time, and based on user-
preferences, will automatically upload the photos and associated meta data to
the users personal space found on RTFISHWeb. See figure 1.

CA 02860278 2014-08-21
RTFISHWeb is an online information management, modeling, analysis, mapping
and visualization fishing optimization system that combines a variety of data
sources into a single, easy-to-use graphical user interface. RTFISHWeb
integrates numerous databases and data sources to predict the optimal times
and locations when fishing conditions are ideal for a specific species of
group of
fish species. RTFISHWeb includes, but is not limited to:
SPECIES RIVERS/LAKES
= Species name = Google Maps, Google
Earth
= Migration times = Geographic
Coordinates
= Preferred Spawning = Stocking
Programs (details)
Temperature = Type of Water Body (river,
= Preferred Temperature lake,
stream)
= Preferred Oxygen Content = Water
Body Classification
= Preferred Turbidity = Historical
Water Quality &
= Preferred Conductivity Levels
WEATHER = Real-Time Water Quality &
= Current/Projected Rainfall Levels
= Current/Projected Air MAPS
Temperature = Hydrographs (Navionics*
= Current/Projected Snowfall
Plugin)
= Current/Projected Windspeed = Google
Earth* Overlays
= Current/Projects Wave = Google Maps*
Heights = Stocking Programs
= Current/Projected Moon = Known Fish
Populations
Phases = Access Points, Boat Ramp,
Dams
Through probabilistic and analytical modeling methodologies, RTFISHWeb
calculates ranges of probabilities that indicate when fishing conditions are
optimal to catch fish at a given location. Historical data combined with real-
time

CA 02860278 2014-08-21
water and weather data predict the probabilities of water temperature meeting
optimal fishing spawn and feeding ranges. RTFISHWeb also predicts optimal
fishing lure types and colors, baits and fishing techniques based on
calculated
and predicted water conditions based on water clarity (turbidity), water
temperature, rive heights and associated flow velocities, pH levels etc.
RTFISHWeb is comprised of several distinct elements and designed to
consolidate fishing data into a single, easy-to-understand system, complete
with
real-time water condition graphs, fish success prediction charts, location
maps,
optimized tackle selections and real-time social media feeds.
RTFISHWeb
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Representative Drawing