基于语音识别的智慧分类医疗垃圾桶的设计与实现

Design and Implementation of Intelligent Classification Medical Trash Can Based on Speech Recognition

以Arduino Nano单片机为核心,采用SU-03T语音识别芯片、ESP8266联网模块以及其他模块,设计一款具备语音识别和联网功能的医疗垃圾分类垃圾桶,实现了对医疗垃圾分类的语音化管理、垃圾溢满提示、环境照明和垃圾桶开合等自动化功能。同时设计移动端应用程序与联网模块的信息交互,获取垃圾桶的状态信息,实现对垃圾桶容量的查看和分楼层对垃圾桶的管理。实验结果表明,智慧分类医疗垃圾桶语音识别的正确率达97%,满足设计需要。

Using the Arduino Nano Single-Chip Microcomputer as the core and SU-03T speech recognition chip,ESP8266 networking module,and other modules,a medical trash classification trash can with speech recognition and networking functions is designed,achieving automated functions such as speech management of medical trash classification,trash overflow notification,environmental lighting,and trash can opening and closing.Simultaneously,it designs information interaction between mobile applications and networking modules to obtain status information of trash cans,enabling viewing of trash can capacity and management of trash cans by floor.The experimental results show that the accuracy of speech recognition for intelligent classification medical trash cans reaches 97%,meeting the design requirements.