Autonomous target detection system based on embedded platform and cloud computing

In today's society, target detection technology, as a basic technology, has been widely used in many fields such as municipal, public security, medical, transportation, exploration and so on. However, there are many problems in the embedded target detection system currently on the market, such as cumbersome model training and retraining process, simple human-machine interface and difficult operation. In view of the above problems, this paper proposes an autonomous target detection system based on embedded platform and cloud computing. It mainly uses Raspberry Pi and USB camera to collect image data, and then transmits it to the cloud server through the network. It completes data annotation, model training and autonomous iterative training of the model in the cloud on the Web management platform. Through the cooperation of software and hardware, the target detection results can be viewed on the platform in real time, which realizes the visualization, automation and simplification of the target detection process are realized, and the operation difficulty of the system is reduced.