Fisherman’s Friend, the application that makes the daily life of cooperatives easier
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activity:
maritime, Industrial optimization
expertise:
Computer science
Fisherman's Friend is an application that offers maritime cooperatives an intuitive and user-friendly tool to facilitate the management of their small-scale fishing activities by centralizing all essential information on a single platform.
context
A maritime cooperative represents a set of organizations committed to the valorization of small-scale fishing, by providing support to fishermen. This is reflected in the facilitation of the marketing of their catch or the establishment of logistical resources upon their return to port.
To effectively support cooperatives in their activities, our application offers an integrated dashboard, which presents essential statistical data, as well as a prediction of the time of arrival at the dock or ETA (Estimated Time of Arrival) when the ship begins its return phase. This information brings real added value to cooperatives, allowing them to make more informed decisions and optimize their operations.
Features
Secure authentication
Access reserved via a login system guaranteeing the protection of data and the confidentiality of navigation information.
Visualization of positions
we used a PCA (Principal Component Analysis) for dimensionality reduction and a clustering algorithm to group patterns by behavioral similarity. A key point was the correlation identified between the manufacturer's model error and cumulative emissions, underlining the importance of targeting high-emission patterns.
Development of a selection and reconstruction algorithm
Real-time display of ship and port positions on an interactive map for clear and intuitive supervision of offshore operations.
Travel history
Access to the complete history of trips over 48 hours, segmented by phase of activity: in port, in transit, in fishing area and back.
Operational phases
Instant identification of the status of a vessel (departure, transit, fishing, return) for a clear vision of the operating cycle.
Arrival forecast (ETA)
Calculation and display of the Estimated Time of Arrival in order to optimize the planning of human and material resources during unloading operations.
innovation
The forecasts of The time of arrival are calculated using an algorithm developed by our AI team
Thibaut France
Head of the AI division
technical information
Location of boats
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Determined using AIS (Automatic Identification System) data. This communication system between vessels is now mandatory, allowing ships and surveillance systems to gather information such as the identity, status, position, and trajectory of vessels in a given navigation area.
ETA predictions
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Calculated using an algorithm developed in-house at OSE, as detailed in the ETA project. The first step of this algorithm is to detect and classify the various operational phases using Machine Learning techniques and decision trees. Then the second step is to estimate the time of return to port using a statistical approach.
see also
Artificial intelligence
Automatic qualification of the performance of a hull
Computer science
Bunkering under strict mathematical supervision
Artificial intelligence
How to support trawlers in their energy transition?