Requirement analysis
According to statistics, approximately 10000 birds of all kinds collide with airplanes every year. Out of aviation accidents worldwide, 20% are caused by birds colliding with airplanes, posing a significant threat to their safety. The prevention and control of bird strikes on airplanes is listed as a world-class problem.
How to prevent bird strikes to the greatest extent possible and how to optimize disposal to improve safety once bird strikes have also become the focus of people's attention. The takeoff and landing phase of aircraft during near-field flight is a high-risk stage in flight. Monitoring the takeoff and landing process of aircraft has always been a key area of airport safety control. Timely detection and early warning of low altitude hazards that may occur during the landing phase are of great significance for ensuring flight safety.
Technical Status
At present, there are many low altitude target monitoring and recognition systems on the market. Some systems also use radar, TDOA, etc. to detect and distinguish drones and other airborne objects, but cannot recognize birds and other targets; And birds have the characteristics of low altitude flight, fast flight direction change, and small size. The distance that flying birds can be observed by the naked eye is only about 300 meters, which also makes it difficult for radar detection to form effective continuous trajectories. Therefore, it is particularly important for radar to rely on electro-optical detection to complete the remaining tracking and identification after detection.
In response to this challenge, Hope-wish has launched a drone bird detection, recognition, tracking and analysis system, which has opened up a new path for the application of drone technology in ecological protection and bird monitoring.
The drone bird detection and analysis system is mainly used in airports to monitor, track, identify, warn, and store data around the airport. It is expected to maintain stable tracking of targets in complex backgrounds and various scene changes, achieve type recognition and feature recognition of targets, maintain clear images, stable tracking, reliable warning, and comprehensive recording in the process of distance changes, so that commanders can grasp the real-time dynamics of birds and other targets around the airport in real time.
System architecture
This system intends to adopt technologies such as radar guidance, electro-optical tracking and monitoring, artificial intelligence neural network deep learning, and long-distance long focal length precise focusing, which can provide users with effective real-time video images, real-time intelligent target recognition results, and video recording records. The system has the characteristics of all-weather, long monitoring distance, clear image, excellent tracking performance, high intelligence, and simple operation.
Main interface of local display and control platform of the system
Bird recognition effect
System trajectory information display interface
Hope-wish drone bird detection and analysis system not only has the characteristics of high precision and high real-time, but also can achieve intelligent analysis and early warning of bird activities, opening up new paths for the application of drone technology in ecological protection and bird monitoring fields. In the future, Huawei Vision will continue to increase its research and development efforts in unmanned aerial vehicle (UAV) bird detection, identification, and disposal technologies, continuously launching more innovative and practical high-tech products, and contributing more to the development of various fields.
