The design and implementation of management device for removed electric energy meter

The management of the removed electric energy meter as the last link of the entire lift-cycle management, which is of great significance in power recheck, sorting and reuse, data collection and decision-making. According to this situation, based on machine vision and image identification, this paper studies the automatic recognition and fault diagnosis of the removed electric energy meter. By designing test sequences and detection processes, using analytical models to identify key components of the removed electric energy meter, obtaining information such as component type, position coordinates, and confidence, the automatic recognition and fault diagnosis of the removed electric energy meter are achieved. It providing a basis for fault and visual display of key components of the removed electric energy meter.