Intelligent Appearance Quality Detection of Air Conditioner External Unit and Dataset Construction

With the development of the Industrial Internet of Things (IIoT) and the upgrading of the manufacturing industry, intelligent solutions for factories are imminent. Nowadays, most factories have backward testing methods and low efficiency, which has gradually become the shackles of enterprise development. Aiming at the problem of the appearance quality of the air conditioner external unit, this paper proposes an intelligent detection solution for the appearance quality of the air conditioner external unit based on the YOLO object detector, and constructs an image dataset containing with 25897 images and object labels. In the actual test, the object labelled in the quality inspection task of the air conditioner external unit reached a recall rate of more than 99% and a mAP of more than 95%.