Research on environment perception and scene recognition based on computer vision in wearable intelligent devices

The rise of wearable smart devices has brought new opportunities for computer vision technology in the field of environment perception and scene recognition. This research focuses on using computer vision technology to enhance the environment perception and scene recognition ability of wearable devices. After training on large-scale labeled datasets, the algorithm can detect and recognize objects such as pedestrians, vehicles, and objects with high accuracy, and accurately locate their positions and contours in images. The algorithm has excellent real-time and adaptability, and can maintain stable detection performance under complex lighting, occlusion and other environmental conditions, so as to ensure the reliable operation of the system in various scenes. This research integrates advanced technologies such as computer vision and deep learning into wearable devices, which not only broadens the application prospect of computer vision in the field of environmental perception, but also contributes an important force to improving the intelligence level of wearable devices.