摘要：This paper presents a design method of intelligent monitoring system for transmission lines based onartificial itelligence technology. In this design method, a low-power artificial itelligence chip - LieYing A101 is usedto design an itelligent recognition module to realize real-time target recognition on a terminal device. In order to solvethe problem that the original image and the input image resolution of the intelligent recognition module do not match,this paper uses a sliding window and convolutional neural network design method, which solves the image resolutionmismatch problem and improves the recognition accuracy. Finally, for the problem of excessive network model size,feature channel weight pruning and 8-bit quantization methods are used to compress the network model to less than10M, and the recognition accuracy is not sharply reduced. After the test set test and actual scene use, the external forcedestruction target recognition accuracy of the transmission line channel is high; this meets the application needs ofcustomers.
其他摘要：This paper presents a design method of intelligent monitoring system for transmission lines based on artificial intelligence technology. In this design method, a low-power artificial intelligence chip - LieYing A101 is used to design an intelligent recognition module to realize real-time target recognition on a terminal device. In order to solve the problem that the original image and the input image resolution of the intelligent recognition module do not match, this paper uses a sliding window and convolutional neural network design method, which solves the image resolution mismatch problem and improves the recognition accuracy. Finally, for the problem of excessive network model size, feature channel weight pruning and 8-bit quantization methods are used to compress the network model to less than 10M, and the recognition accuracy is not sharply reduced. After the test set test and actual scene use, the external force destruction target recognition accuracy of the transmission line channel is high; this meets the application needs of customers.
