实验室智能监控系统的实现

Implementation of Laboratory Intelligent Monitoring System

本论文研究了智能监控系统在实验室环境中的应用,旨在探讨该系统对实验室安全、效率和管理的重要作用。本研究项目主要通过建立APP,实现将监控中的视频图像提取,处理,然后传入信息库中。用户登陆APP有学生模式和老师模式两种。学生模式可以实现提前预约实验室、刷学生卡和人脸识别进入实验室等功能。教师模式可通过APP看到预约信息,也可以调用实验室的实时视频或特定时期的监控视频。智能摄像头如果识别到陌生用户进入或者检测到实验室内温度过高、有火源,则会向管理该实验室的教师用户发送警报信息。通过使用智能监控技术,实验室可以实现对实验设备、试剂品、实验数据等资源的实时监测和管理,提高实验室的运行效率和安全性。本研究设计并实现了一套基于人工智能技术的实验室智能监控系统,并通过实际案例验证了其在实验室管理中的有效性和可行性。

This paper investigates the application of intelligent monitoring systems in laboratory environments, aiming to explore the important role of the system in laboratory safety, efficiency, and management. This research project mainly aims to establish an APP to extract and process video images from surveillance, and then transfer them to an information database. There are two modes for users to log in to the app: student mode and teacher mode. The student mode can achieve functions such as pre-booking the laboratory, swiping student cards, and facial recognition to enter the laboratory. The teacher mode allows users to view appointment information through the app, as well as access real-time videos from the laboratory or monitor videos from specific periods. If the smart camera recognizes an unfamiliar user entering or detects a high temperature or fire source in the laboratory, it will send an alarm message to the teacher user managing the laboratory. By using intelligent monitoring technology, the laboratory can achieve real-time monitoring and management of experimental equipment, reagents, experimental data and other resources, improving the operational efficiency and safety of the laboratory. This study designed and implemented a laboratory intelligent monitoring system based on artificial intelligence technology, and verified its effectiveness and feasibility in laboratory management through practical cases.