Case Study: The Nature Conservancy achieves daily catch reporting with Tryolabs' edge AI video analytics

The Nature Conservancy turns hours of onboard video into daily catch reports with Tryolabs

The Nature Conservancy faced a significant challenge in monitoring sustainable fisheries. They had extensive onboard video footage from fishing vessels, but manually reviewing it to understand catch and discard activity created a backlog of weeks or months. Tryolabs partnered with them to build an edge AI and computer vision solution to process this footage directly on the vessels.

Tryolabs implemented a system that uses computer vision to detect, track, and count fish in real-time, distinguishing between species and identifying what was kept versus discarded. This Edge AI solution runs on the vessel's own hardware without needing a cloud connection. It generates a structured daily catch report, providing reviewers with immediate insights and a risk score for potential irregularities. This allows review teams to move from searching through raw footage to examining organized evidence, drastically speeding up the monitoring process.

The Nature Conservancy