基于语音识别的智能分类垃圾桶设计与实现

Design and Implementation of Intelligent Classification Garbage Bin Based on Speech Recognition

为改善人们的生活体验,提高人们生活的自动化、智能化水平,设计一款基于语音识别的智能分类垃圾桶,实现垃圾桶实时联网、智能分类等功能。该垃圾桶采用Kaldi工具对输入音频进行处理,实现语音识别,识别结果通过串口通信经上位机传输给单片机,单片机控制舵机转动,实现对垃圾的分类。同时,垃圾桶的内置传感器可以实时获取垃圾桶内温度等状态信息,并通过ESP266模块上传云端,能够让用户在APP终端实时了解垃圾桶内的情况。该设计成本低廉,分类准确率高,可用于智能家居等多种场景,有着广阔的应用前景。

To improve people's living experience and enhance their level of automation and intelligence,a speech recognition-based intelligent classification garbage bin is designed to achieve real-time networking and intelligent classification of garbage bins.The garbage bin uses Kaldi tool to process input audio and achieve speech recognition.The recognition results are transmitted to the Single-Chip Microcomputer through serial communication through the upper computer,and the Single-Chip Microcomputer controls the rotation of the servo to achieve garbage classification.At the same time,the built-in sensor of the garbage bin can obtain real-time temperature and other status information inside the garbage bin,and upload them to the cloud through the ESP266 module,allowing users to understand the situation inside the garbage bin in real time on the APP terminal.This design has low cost,high classification accuracy,and can be used in various scenarios such as smart homes,which has broad application prospects.