Research on real-time identification method of pig number based on 5G and convolutional neural network

Qian Tan; Xiao-qiang Ren; Dan Zhang

doi:10.1117/12.2640746

13 October 2022 Research on real-time identification method of pig number based on 5G and convolutional neural network

Qian Tan, Xiao-qiang Ren, Dan Zhang

Proceedings Volume 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022); 122870E (2022) https://doi.org/10.1117/12.2640746
Event: International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 2022, Wuhan, China

Abstract

The identification of pig number is very important in large-scale breeding. The traditional manual identification is time-consuming and laborious, and more difficult when the natural environment and pig behavior change. In order to solve this problem, a pig identification method based on 5G and convolutional neural network was proposed. Firstly, 5g network is used to collect and transmit the image data, then the enhanced prewitt Algorithm based on FPGA chip is used to detect the edge, finally, 5000 images containing pig and 5000 images without pig are used to detect the edge, training and testing the built convolutional neural network. The experiment shows that the method can recognize the pig outline under different angles, illumination and posture with an accuracy of 94.3% , which provides technical support for intelligent weight measurement, estrous behavior detection and early diagnosis and warning of epidemic diseases, improving the economic efficiency and management efficiency of pig-raising.

Citation Download Citation

Qian Tan, Xiao-qiang Ren, and Dan Zhang "Research on real-time identification method of pig number based on 5G and convolutional neural network", Proc. SPIE 12287, International Conference on Cloud Computing, Performance Computing, and Deep Learning (CCPCDL 2022), 122870E (13 October 2022); https://doi.org/10.1117/12.2640746

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