The traditional method of workshop inspection mainly relies on manual check and recording, which is cumbersome and cannot be shared in real time. For higher work efficiency, deep learning is applied to mixed reality workshop inspection. It is combined with mixed reality technology, and the ResNet network is used to classify and identify workshop equipment. After classification and identification, HoloLens’ spatial perception ability is leveraged to locate and confirm the equipment. Finally, equipment basic information, operating status, and alarms are displayed. The experimental results show that compared with traditional workshop inspection methods, ResNet, with a high identification rate, can effectively filter noises, improve the utilization rate and identification rate of HoloLens, and consequently improve the work efficiency of inspection personnel.