Binocular Vision of Fish Swarm Detection in Real-time Based on Deep Learning

In the field of ocean development, fish swarm detection has significance for AUV's autonomous navigation and fishing industry. Aim to present fish swarm detections are common based on 2D which lack of spatial information, has low accuracy and bad real-time performance, so we proposed systematic fish swarm detection and position method. We used deep learning target detection system to detect fish and used binocular vision position system to position, then fused every fish's 3D information in camera vision to displayed fish swarm spatial information through radar map. Finally, the contrast experiment and is carried out to verify the effectiveness of the proposed method.