Intelligent AI Seahorse State Real time Detection System

OWL-AI-Seahorse

1. Brief introduction

The intelligent AI seahorse real-time detection system is an advanced technology product that can accurately identify the number, activity, and birth of seahorses. By comparing with the data model, the system can promptly detect abnormal states in the hippocampus and automatically issue warning signals. This intelligent system achieves automated real-time inspection, effectively ensuring the growth status of seahorses, timely warning of possible problems, improving harvest and management efficiency, reducing breeding risks, and saving human resource costs.

2.  Application scenarios

Seahorse, shrimp, fish fry

3. Function and Features:

4. System structure:

The intelligent AI seahorse real-time detection system consists of a cloud platform, a computing host, and high-definition cameras. The intelligent computing host is connected to each camera through IP and port, and each camera recognizes for one minute. The recognition results are uploaded to the cloud platform for recording and statistics. When the platform recognizes data abnormalities, it automatically sends SMS, phone, and WeChat warnings (which can be configured on the platform side);

Identify a pool (one camera) within 1 minute, then turn off the currently recognized camera and sequentially call the next one until the end of a cycle, and start a new cycle from the first camera.

5. System deployment:

1. Underwater camera (install one underwater camera in each of the four corners of the pool)

6. Precautions

1. Avoid strong light/strong reflection affecting the camera;

2. Underwater cameras need to be equipped with automatic cleaning to avoid frequent maintenance;

3. The system runs immediately upon startup. If it is necessary to ensure that it also runs during power outages, consider adding a UPS power supply

4. By default, each camera calls and recognizes for one minute. The more cameras there are, the longer the polling cycle. When the number of cameras exceeds 60 (recognition cycle exceeds 1 hour), multiple intelligent computing hosts should be considered for configuration;