Embedded Intelligent Control System Based on Online Machine Learning Platform
Based on an online Machine Learning platform and an embedded development board,an intelligent control system with the ability to monitor environmental information in real-time has been designed.The intelligent system built with the MQTT transmission protocol can control various electronic devices in office and home scenarios through virtual switches and voice methods,and switch system scenarios with one click by sensing and recognizing colour cards.This system can be applied in intelligent homes or robot control fields equipped with infrared,Bluetooth,and wireless control modules,to improve the intelligence level of the system in scenarios with limited software and hardware resources.The test results indicate that the intelligent control system can control intelligent devices according to users'needs,and has certain practicality and scalability,which can be applied in the fields of Internet of Things and robotics research.
Neural Networkspeech recognitionInternet of ThingsembeddedMQTT protocol
国家科技期刊平台
NSTL
万方数据
