基于镜路协同技术的信号灯智能识别盲人眼镜设计

Design of Blind Glasses for Intelligent Recognition of Signal Lights Based on Mirror Path Collaboration Technology

文章基于互联网和云端技术提出一种全新的镜路协同(MirrorPathCollaboration,MPC)技术,用以智能识别信号灯状态,进而设计一款集信号灯识别、道路障碍检测、语音提醒等功能于一体的智能盲人眼镜。采用YOLOv4算法使眼镜中的颜色传感器实时监测信号灯的灯态,借助无线通信模块将所有数据上传云端,经主控模块处理后筛选出有价值的信息,通过眼镜中的语音模块反馈给盲人使用者,最终达到帮助盲人准确判断和了解信号灯信息的目的。

This paper proposes a new Mirror Path Collaboration(MPC)technology based on Internet and cloud technology to intelligently recognize the status of signal lights,and then designs an intelligent blind glasses that integrates functions such as signal light recognition,road obstacle detection,and voice reminder.The YOLOv4 algorithm is used to enable color sensors in glasses to monitor the light status of signal lights in real-time.With the help of wireless communication modules,all data is uploaded to the cloud,after being processed by the main control module,valuable information is filtered out.Through the voice module in the glasses,feedback is given to blind users,ultimately achieving the goal of helping blind people accurately judge and understand signal light information.