Machine Learning Automatic Security Image Monitoring System Based on MMRotate Model

In this paper, an artificial intelligence identification method of contraband based on X-ray security inspection machine image is proposed in the scenario of high human traffic, aiming at solving the problem of missing detection caused by traditional X-ray security inspection machine relying on manual detection, reducing the influence of artificial factors and improving the recognition accuracy. In order to realize this method, this paper improved the MMRotate model, combined with a new processing method for secondary processing of the original X-ray image, and then trained and identified the MMRotate model to improve the detection rate of the model. In a word, X-ray detection using MMRotate model brings many benefits for safety detection and has a broad application prospect.