With over 400,000 vessels with monitoring needs worldwide, even an implementation of electric monitoring across 10% of the global fleet would generate over 100,000,000 hours of footage and petabytes of video data each year.
As much as 80% of the video footage does not contain fishing activity. However, human reviewers must tediously scan through all video footage for fishing activity. This costly activity is prohibitive to widespread voluntary adoption of electronic monitoring.
Vessels are away from their home port for weeks or months at a time with no way to transmit such quantities of video footage efficiently back to shore, delaying oversight activity until the vessel’s return. Tuna longline fishing, the most valuable, and second-most common fishing gear, has a bycatch rate greater than 1 in 4, impacting sharks, turtles, billfish, seabirds, dolphins, juvenile fish and other fish species.
AI.Fish offers two products supporting reduced costs and efficiency in electronic monitoring implementations.
Companies with review software and electronic monitoring equipment can integrate to our API to access automated annotation powered by computer vision analysis of video footage.
Our team is motivated to solve problems with scale and global impact through computer vision approaches. We are always looking for new partnerships and challenges that require specialized expertise in object detection, classification, or tracking, EdgeAI, or custom AI augmented software applications. Our proven track record of commercial-ready implementations stands out in a market of empty promises.
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