An image recognition system running on the edge device is designed and implemented based on the computing resources of DJI Tello UAV,combined with the software interfaces provided by flight control and Microsoft cognition services.This paper primarily introduces the overall design,hardware composition,software design,and system implementation.Simultaneously,by taking a public face data set as an example,the model is trained and deployed.The edge device can exchange the real-time image of the UAV with the model through HTTP protocol to obtain its classification and detection the results.The system can reduce the requirements on local hardware resources,improve processing efficiency,and enhance the flexibility.