FishVision
Advanced fish behavior pattern recognition system using artificial intelligence
Università degli Studi del Molise
Università degli Studi di Camerino
Advanced Technologies
The system uses an hybrid approach combining CNN and LSTM neural networks for advanced fish behavior recognition
Artificial Intelligence
Neural networks for advanced fish behavior recognition
Computer Vision
Real-time video analysis on 3 different behavior patterns
Advanced Analytics
Interactive dashboard with detailed statistics and insights
High Performance
Rapid video processing with low latency and high throughput
Marine Conservation
Contribution to scientific research for the protection of marine ecosystems
Global Impact
Scalable solution for monitoring marine ecosystems worldwide
82.7%
Average Model Accuracy
2
Monitored Species
630
Hours of Video Analyzed
24ms
Inference Time