Design Research on Smart Cane of YOLOv5s-Based Image Recognition and Vibration Feedback

Aiming at the severe challenges of the visual impairment in traveling, an intelligent cane integrating the optimized YOLOv5s image processing algorithm, wireless communication technology and multi-sensor detection technology is designed and implemented. The cane integrates the optimized YOLOv5 image processing algorithm and multiple sensor detection technologies, realizes the obstacle recognition of the cane, and has the functions of GPS positioning, voice prompts of road conditions and feedback. After actual scene testing, the cane performed well, fully met the design requirements, and significantly improved the mobility independence and social participation of the blind. It is of great significance to improve vision and quality of life.