Research on Algorithm for State Recognition of Electric Power Goods Based on Image Recognition

This article is based on the remote acceptance requirements of power supplies and relies on image recognition algorithms in artificial intelligence to propose a batch standardized LSTM automatic identification method for the status of power supplies. It achieves intelligent identification of whether the outer packaging of power supplies is intact and whether the goods themselves are damaged. The experiment shows that the method proposed in this article can improve the efficiency of material status recognition while achieving intelligent identification of material status, and can effectively support the implementation of remote on-site material acceptance scenarios.