Research on Substation Real-Time Object Recognition Algorithm Based on Deep Learning

Abstract

The use of deep learning algorithms to intelligently identify objects from video has a wide range of applications. The more advanced system based on the tensorflow framework is proposed for deep neural network recognition of objects in this paper. Our work is mainly the following: (1) Using the vgg deep convolutional network architecture as the infrastructure. (2) Real-time recognition of objects in video. (3) The system framework can be used in substations to realize real-time identification of objects with security threats.