Design of Intelligent Classification Trash Bin Based on Speech Recognition

Konferenz: ICETIS 2022 - 7th International Conference on Electronic Technology and Information Science
21.01.2022 - 23.01.2022 in Harbin, China

Tagungsband: ICETIS 2022

Seiten: 5Sprache: EnglischTyp: PDF

Autoren:
Qu, Fukang; Liu, Jinlong; Li, Wuchu; Chen, Jisong (Guangzhou Huali College, Guangzhou, China)

Inhalt:
Aiming at the problems of low automation level, inaccurate classification and long time consumption of garbage classification, this paper puts forward the design of intelligent classification trash can based on speech recognition. In this design, STM32 is used as the main control chip, the voice recognition module LD3320 is used to obtain information, the stepping motor is controlled to realize the throwing of corresponding garbage, the infrared ranging module is used to monitor the capacity of the garbage can in real time, and the voice broadcast module and indicator light are used to remind when the garbage can is full. The experimental results show that the system improves the intelligence of garbage classification and effectively improves the accuracy and efficiency of garbage classification.