基于OpenCV的IoT联动消防设计

his paper proposes an IoT-integrated fire safety system utilizing OpenCV for real-time monitoring and status assessment of fire extinguishers, ensuring their operational readiness in emergency situations. The system employs the Air724 chip in conjunction with a human detection module to monitor the pressure levels of fire extinguishers, while OpenCV-based image recognition algorithms are used to perform routine inspections, automatically detecting potential issues such as pressure anomalies or physical damage. Additionally, an emergency button and alarm system are incorporated; upon detecting a fire hazard, the system immediately triggers the alarm and uses Socket communication to facilitate real-time information updates, ensuring prompt notification of nearby individuals. The front-end interface is optimized for user interaction using Vue and jQuery, with backend services powered by the Spring Boot framework. This design enhances the reliability of fire extinguishers and improves fire warning efficiency, contributing to the advancement of fire safety. The research provides a scalable technical solution for the development of smart fire safety systems.