Resumen
To achieve automated farming management, including the recording, tracking, and statistics of sheep, we harness deep learning technology for sheep face recognition research, and the further development of lightweight sheep face recognition models. Deep learning steers the neural network approach in a lightweight direction, simultaneously improving the accuracy of the model. The resulting models are smaller, faster, and capable of completing image recognition tasks more quickly, even with hardware resource constraints. Deep learning directs the neural net road in a lightweight direction, while improving the accuracy of the model, whereby the process is smaller, quicker, and can complete image recognition work faster despite hardware resource constraints. In this study, we improve the FPS of recognition to better adapt to video streaming recognition techniques.