Design and implementation for intelligent conference video monitoring and management system of state grid based on Qt

With the wide application of online conference in plenty of companies and institutions, the maintainers need to monitor the real-time video stream of the main venue and branch venue to ensure the success of conference. In order to improve the maintenance efficiency of State Grid, this paper designs an intelligent conference video monitoring and management system that integrates various image processing technologies and artificial intelligence algorithms with the cooperation of software and hardware. The system adopts the Qt development framework to complete the system interaction logic and display interface design. PaddleOCR tool is used to identify baffle text in branch venue picture, and YOLOv5 algorithm is adopted to detect people in the picture. Dlib library is used for participant attendance of main venue. The test and verification show that the system realizes the user login and management function, decoration guide and exceptional malfunction detection function of branch venue, participant attendance function of main venue. The maintenance requirements of State Grid can be met properly.