Research on the design and realization of interactive wearable blindness guidance system based on computer vision

Aiming at the problems of single function of navigation aids and limited applicable scenes for visually impaired people traveling at present, this paper proposes an interactive wearable guide system based on computer vision technology. The system integrates a variety of sensors, including infrared rangefinder, ultrasonic sensors and high-definition camera, and is equipped with STM32 microcontroller for efficient data processing, realizing real-time perception of the surrounding environment and accurate identification of obstacles. The system adopts YOLOV7 algorithm to intelligently analyze road conditions and provide accurate and real-time navigation information for visually impaired users through voice and vibration feedback. The system is also equipped with gyroscope and microphone for monitoring the user's movement status and receiving voice commands to realize natural human-computer interaction. The accompanying smartphone APP connects to the system wirelessly via Bluetooth and provides voice and vibration alerts through the headset and built-in motor, providing a convenient user interface. The APP integrates GPS positioning and Baidu map service, which not only records the user's walking route in real time, but also intelligently plans the traveling route and provides voice navigation service. The system is well-designed, integrating advanced technology and humanized interaction, aiming to provide an innovative, reliable and easy-to-use guide solution for the visually impaired.