1.School of Mechanical Engineering， Chongqing University of Technology；2.Anhui Provincial Key Laboratory of Measurement Theory and Precision Instruments， School of Instrument Science and Optoelectronic Engineering， Hefei University of Technology
Abstract： In order to solve the problems of cumbersome and low efficiency in the traditional vision detection process, a vision detection system design based on gesture recognition was proposed. The system uses STM32 microcontroller as the core control, and realizes intelligent and self-service vision detection through laser ranging module, gesture recognition module and eye chart display module. The system displays the visual target through the TFT LCD display screen, and after the ranging reaches the standard range, the gesture recognition sensor recognizes the gesture action of the measured person, and collects, compares and judges through the microprocessor, and completes the visual acuity grade display with the single visual target judgment criterion and dichotomy retrieval strategy. The feasibility of the system is verified by experiments, and the system can achieve the correct recognition of the four gestures, and the average accurate recognition rate of vision detection reaches 82%, which has good accuracy and high efficiency.
Key words : vision detection；STM32 microcontroller；ATK-PAJ7620U2；gesture recognition；human-computer interaction
