基于人机交互的智能语音垃圾分类系统设计

Design of an intelligent voice garbage classification system based on human-computer interaction

针对垃圾分类的弊端以及居民对垃圾分类知识的储备不足问题,设计了一套基于人机交互的智能语音垃圾分类系统.该系统通过STM32控制LD3320语音模块进行语音识别,实现人机交互.具有人体感应功能,可进行人体检测,在无人时自动关闭系统,节约资源,由压力检测模块实时监测垃圾箱内垃圾是否装满并伴有垃圾装满蜂鸣器报警功能.通过多次的测试,该系统各项功能稳定准确,在垃圾分类领域中有较好的应用前景.

In view of the disadvantage of garbage classification and the insufficient reserve of residents′knowledge of garbage classification,designs an intelligent voice garbage classification system based on human-computer interaction.The system uses STM32 to control LD3320 voice module for speech recognition and human-computer interaction,has human body sensing function,can detect human body,automatically shut down the system when unattended,and saves resources,real-time monitoring of garbage filling in the garbage bin with garbage filling buzzer alarm function by pressure detection module.Through multiple tests,the system has stable and accurate functions.It has a good application prospects in the field of garbage classification.