BRE03 Create a fish species Identifier Camera with Computer Vision.
- Image generated with AI (DALL·E / OpenAI)
Brest
- Organisation
- Colin Lenormand
- We want to develop an underwater camera capable of identifying fish species in real time and recording the encounters. Recognition would be performed by a computer vision model embedded in the camera that processes information locally, since it is impossible to connect to a server while underwater. We plan to accompany the solution with a mobile app that provides a gamified history of the fish encountered during dives or snorkeling.
- What the challenge owner would like to develop over 48h
- Over the next 48 hours, we would like to focus on the software side of the solution, primarily the fish recognition model. We will also focus on the embedded architecture that processes the data (the photo) and displays the results in an optimized user experience.
- Which skills the challenge owner is looking for
- Programming, computer vision, data organization, user experience, business model, design
