AI-Based Underwater Biomass Identification System

By leveraging active sonar systems, passive acoustic monitoring equipment, high-definition video surveillance for image acquisition, and deep-learning-based machine vision analysis, this approach enables real-time, dynamic, and continuous monitoring of fish and shrimp populations in aquaculture water bodies. This facilitates accurate estimation of the total number of fish (or shrimp) in the culture system, while also precisely identifying and measuring the individual size and weight of each fish (or shrimp), thereby providing reliable data support and decision-making grounds for refined aquaculture management.

Product Features:
Real-time dynamic monitoring of fish/shrimp swarm activity in aquaculture water bodies
Accurately estimate the total
Accurately measure individual body dimensions and weight.

Product Feature:

Integrated active and passive sonar monitoring

High-definition video acquisition and deep-learning-based machine vision analysis

Data Full traceability throughout the cloud migration process