Employing cutting-edge automation technologies such as embedded machine vision and machine learning, the system enables online detection of wire drawing anomalies. It can accurately identify abnormal states during the wire drawing process, such as shrinkage and dripping, and fully considers environmental factors such as high temperature, high humidity, and corrosion at the wire drawing site, employing various methods to ensure the long-term reliable and stable operation of the equipment.