Research on Automatic Medicine Box System for Community with Extreme Learning Machine Based on Sparrow Search Algorithm Improvement

Intelligent healthcare is an important industry and the automatic pill box project combines fingerprint recognition and embedded control. This project mainly researches the fingerprint recognition algorithm of extreme learning machine improved based on sparrow search algorithm and embedded technology to realize the automatic control of medicine box. STM32 is used as the main controller, and the state is obtained through the fingerprint module, and then the fingerprint image processing technology determines the feature information, which is matched by the fingerprint recognition algorithm. The accuracy of fingerprint image recognition judgment is improved. The embedded control part receives the processing signals through the 32-bit microcontroller and drives the servo to realize the opening and closing of the medicine box. The infrared temperature measurement module carries out non-contact body temperature detection and voice broadcasting to realize unmanned self-service medicine collection. After debugging and testing, the expected goals are successfully realized. This research has reference significance in the field of fingerprint image processing technology and embedded control technology.