基于 SOPC 的智能辅助饮食系统设计

摘要

该文基于无臂残疾人无法进行自主饮食，设计了一套智能辅助无臂残疾人饮食的嵌入式系统。该系统由 CCD 相机得到脸部图像，通过 FPGA 的二值化处理和 Nios II 的图像分析，定位出嘴部位置，再由 FPGA 产生持续 PWM波控制机械臂的运动，将饮品送到使用者嘴边进行饮用。该系统具有语音识别功能，全程通过语音进行人机交互，并具有自动添加饮品功能和水温异常报警功能。%Based on the phenomenon that disabled people without arms are not convenient to eat and drink,an embedded system for armless disabled to eat and drink is designed.The system receives the image of face from CCD camera and locates the mouth via bi-nary image process of FPGA and image analyze of Nios II.Using Pulse Width Modulation power,this system can control its mechanical arm to send the drink in front of disabled people's mouth.Since this system has speech recognition,disabled people can just talk to the system to make an order.Moreover,the system has the function of filling up the drinking automatically and alarm for abnormal drinking temperature.