【一起diy】AI智能垃圾分类箱

1、前言

感谢DF的粒子邮寄过来的人工智能三剑客中的两剑客：中英文语音合成模块和I2C语音识别模块。于是做什么项目呢？

上海在7月1号起已经开始实行强制垃圾分类，实行了垃圾分类的政策，主要原因是随着人们生活水平的提高，各类消费增加，产生了大量的垃圾，如果不能够合理处理这些垃圾，将严重污染环境，为了解决这个问题，响应国家提出的垃圾分类政策，保护我们赖以生存的家园。用掌控板结合中英文语音合成模块和I2C语音识别模块来做一个AI智能垃圾分类箱！

2、材料清單

3、硬件介绍

2.1语音识别模块

该模块采用由 ICRoute 公司设计的 LD3320 “语音识别”专用芯片，只需要在程序中设定好要识别的关键词语列表并下载进主控的MCU中，语音识别模块就可以对用户说出的关键词语进行识别，并根据程序进行相应的处理。本品不需要用户事先训练和录音就可以完成非特定人语音识别，识别准确率高达95%。

详细资料可以看一下产品wiki

2.2语音合成模块

支持中文、英文和中英文混合合成、自带喇叭、Gravity I2C/UART双通讯、支持多种主控板，arduino、micro:bit、掌控板等。语音合成功能支持多种文本控制标记，可以满足用户对语音合成发音人、音量、语速、语调等的设置。更新详细说明可以查看产品wiki

4、电路连接

**注：**在使用舵机时，为了对称本来使用的P5硬件来驱动一个舵机，单独调试运行的时候发现不能驱动。于是换了P0,P3,P6,P7,P11都不行，有时引脚设置后会导致原本正常的引脚BUG。可能是引脚占用的原因。于是就换成了P14引脚。

5、程序设计

打开mind+ 在‘上传模式’下，点击“扩展”选择掌控板后，然后添加用户库搜索ext 然后选择中英文语音合成模块和I2C语音识别模块。

然后开始对项目进行编写。

/*!* MindPlus* mpython**/#include <MPython.h>#include<DFRobot_ASR.h>#include <DFRobot_Servo.h>#include<DFRobot_SpeechSynthesis.h>// 动态变量volatile float mind_n_msg;// 静态常量const uint8_t imageMatrix[][1024] = 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创建对象DFRobot_ASR asr;DFRobot_SpeechSynthesis_I2C sstts;Servo servo_P13;Servo servo_P15;Servo servo_P1;Servo servo_P5;// 主程序开始void setup() {mPython.begin();asr.begin(LOOP,MIC);asr.addCommand("bao zhi",1);asr.addCommand("yi la guan",2);asr.addCommand("yin liao ping",3);asr.addCommand("shu ben",4);asr.addCommand("dian chi",5);asr.addCommand("sha chong ji",6);asr.addCommand("you qi",7);asr.addCommand("wen du ji",8);asr.addCommand("shi zhi jing",9);asr.addCommand("hai mian ",10);asr.addCommand("yan di",11);asr.addCommand("hai mian",12);asr.addCommand("mian bao",13);asr.addCommand("cai ye",14);asr.addCommand("bing gan",15);asr.addCommand("nai cha",16);asr.start();sstts.begin();sstts.setVolume(8);sstts.setSpeed(5);sstts.setSoundType(sstts.MALE1);sstts.setTone(5);sstts.setEnglishPron(sstts.ALPHABET);servo_P13.attach(P13);servo_P15.attach(P15);servo_P1.attach(P1);servo_P5.attach(P5);servo_P13.angle(abs(90));servo_P15.angle(abs(90));servo_P1.angle(abs(90));servo_P5.angle(abs(90));display.drawImage(0, 0, 128, 64, imageMatrix[0]);}void loop() {mind_n_msg = (asr.read());if ((mind_n_msg>-1)) {if ((mind_n_msg<=4)) {servo_P13.angle(abs(180));display.fillScreen(1);display.drawImage(39, 1, 60, 60, imageMatrix[1]);sstts.speak("可回收垃圾");delay(2000);servo_P13.angle(abs(90));}else if ((mind_n_msg<=8)) {servo_P15.angle(abs(180));display.fillScreen(1);display.drawImage(39, 1, 60, 60, imageMatrix[2]);sstts.speak("有害垃圾");delay(2000);servo_P15.angle(abs(90));}else if ((mind_n_msg<=12)) {servo_P1.angle(abs(180));display.fillScreen(1);display.drawImage(39, 1, 60, 60, imageMatrix[3]);sstts.speak("[i1]gan1la1ji1");delay(2000);servo_P1.angle(abs(90));}else {servo_P5.angle(abs(180));display.fillScreen(1);display.drawImage(39, 1, 60, 60, imageMatrix[4]);sstts.speak("湿垃圾");delay(2000);servo_P5.angle(abs(90));}}else {display.fillScreen(1);display.drawImage(0, 0, 128, 64, imageMatrix[0]);delay(1000);}}

**注：**语音合成的干垃圾会读成第四声，于是查看了一下资料如何改变声调。

这里我一开始用的是：干[=gan1]垃圾。没有效果。后来用了对汉语拼音识别[i1]gan1垃圾。能发正确的音不过会有停顿。后来只能将所有文字替代成拼音。eg：[i1]gan1la1ji1。就可以实现啦！

还有一种方法：就是用多音节来代替：肝垃圾。这样也能达到我们想要的效果。

项目演示

AI智能垃圾分类箱

总结

这样子我们可以用df的离线语音识别模块和语音合成模块来实现一个AI智能垃圾分类箱啦。屏幕前的读者学会了没？总之，三剑客中的两剑客还是很容易上手的，期待你们的作品。更多教程欢迎访问个人博客：www.hockel.club