[Proposal] A brief analysis of using AI intelligent recognition and video surveillance technology to build a smart aquaculture supervision system

1. Program background

In response to the current development needs of intensive, high-yielding, efficient, ecological, and safe aquaculture, building smart aquatic systems based on technologies such as smart sensing, smart Internet of Things, artificial intelligence, and video surveillance has become the current industry development trend. The traditional method of manual observation of aquaculture is relatively simple, and it is difficult to detect management problems such as illegal intrusion, theft, fishing, and water pollution in a timely manner.

2. Plan Overview

TSINGSEE Qingxi Video Smart Aquaculture Solution mainly focuses on emerging technologies such as video surveillance technology, artificial intelligence detection technology, cloud computing, big data, and the Internet of Things. Through remote high-definition video monitoring and video AI intelligent detection, it can conduct 24-hour monitoring of aquaculture areas. Hourly supervision, through real-time AI detection and monitoring, immediately captures and alarms when abnormalities occur, effectively saving labor costs and improving the timeliness, accuracy and effectiveness of supervision work.

With the help of the TSINGSEE Qingxi video AI algorithm platform and the security monitoring system EasyCVR platform, farmers can conduct all-weather, real-time supervision of the aquaculture environment through video surveillance, conduct real-time remote monitoring of the environment of each breeding area through digital large screens, and detect abnormal situations (such as Personnel intrusion, water discoloration, floating objects on the water surface, etc.) will be captured and warned, and farmers will be notified and reminded to confirm on-site in a timely manner to ensure safe production at the breeding site.

3. Features of the plan

1) Personnel intrusion/perimeter intrusion

Based on the AI ​​deep learning algorithm, warning areas are defined in the aquaculture area. When a human body is detected, it is determined as an intrusion event. TSINGSEE Qingxi Video AI video intelligent analysis system can monitor the set monitoring area in real time. When an intrusion is detected, an alarm will be issued immediately to prevent illegal intrusion incidents.

2) Illegal fishing detection

The AI ​​video intelligent analysis system supports the identification of people fishing with umbrellas on the shore, fishing with nets, etc. Once detected, it will immediately capture and alert.

3) Personnel breaks into dangerous waters

The AI ​​intelligent algorithm platform supports the detection, identification and alarm of people entering the warning area to prevent drowning incidents on the premise of delineating anti-drowning areas (which can be divided into dangerous areas, warning areas, and safe areas).

4) Discoloration of water body

The AI ​​video intelligent analysis system supports the identification of whether the water body in the breeding area is polluted, including obvious water body color changes, harmful algae invasion, etc.

5) Abnormal floating objects on the water surface

The AI ​​intelligent algorithm platform supports the identification of abnormal floating objects on the water surface, including surface garbage, plastics, water hyacinth, algae, cold weather, etc.

6) Remote monitoring

A unified monitoring and management station is established through the EasyCVR platform, a comprehensive video surveillance management platform, to conduct fully digital centralized monitoring and management of multiple equipment and information distributed in different areas to meet the needs of unified supervision of modern aquaculture. The system can view data in real time through various methods such as web page and local terminal, and supports alarm methods such as phone calls, text messages, and emails to meet the convenient management needs of all users.

4. Summary of the plan

In the smart supervision scenario of aquaculture, relying on the advanced video networking and cloud storage technology of EasyCVR, a comprehensive video surveillance management platform, the massive on-site video surveillance is networked, monitored uniformly, stored centrally, and operated and maintained to build a large remote visual comprehensive supervision platform. Provide farmers with simple and clear data presentation and provide data statistical analysis and other functions. At the same time, with the help of the rich AI algorithm model of the AI ​​intelligent video analysis system, intelligent perception and intelligent supervision of people, vehicles, objects, behaviors, etc. in and around the monitoring site can be realized to achieve unattended operation and improve breeding efficiency.

Guess you like

Origin blog.csdn.net/Black_3717/article/details/133123446