Jie Chen
ABSTRACT
This paper introduces the overall architecture of electronic perimeter system based-on the deep learning and its key technologies. The system adopts a microservice architecture, using deep learning algorithm services and Spring Cloud-based backend servers to implement the system architecture. Faster RCNN is used as the object detection algorithm and the processing mechanism of real-time video transmission and alarm information processing in the perimeter is introduced. Through the application of the system, the security of the perimeter is greatly improved, and to a certain extent, it has been applied to a certain extent.
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