Illegal Fishing Recognition Algorithm

In modern water area management, illegal fishing activities pose a serious threat to the ecological environment and fishery resources. The traditional manual inspection method is inefficient and prone to omissions, and it is difficult to meet the supervision requirements. Nowadays, with the help of UAV technology and the illegal fishing recognition algorithm, an efficient and intelligent supervision network can be established. Through deep learning technology, this algorithm analyzes the images taken by UAVs, and accurately identifies the characteristics of fishing tools and personnel. It can quickly process a large amount of image data, determine in real-time whether there are illegal fishing activities, and mark the location. Combined with the autonomous cruise function of UAVs, it can conduct real-time monitoring of key areas such as lakes and rivers, promptly detect and handle illegal fishing activities, and improve the supervision efficiency. This algorithm has the advantages of high efficiency, flexibility, and low cost, and can be seamlessly integrated into the existing UAV inspection system without additional hardware investment. With the development of UAV technology, its application scenarios will be further expanded, covering more high-risk areas, and providing strong support for the intelligent management of water areas.