This study aims to meet the requirements of member working hours and efficiency analysis, and reasonable task allocation assessment in scientific research management of labs. It studies a multi-mode analysis system of research efficiency in labs named MASRE based on camera videos, attendance machines, and Web systems. Meanwhile, the system can motivate researchers to invest more time in academic studies by comparing and presenting actual work time, invalid work hours caused by phone abuse, and the research efficiency of researchers. Additionally, according to the research efficiency trends calculated by the system, the lab leaders can analyze whether the research tasks are allocated reasonably or not, and the researchers can explore the factors influencing their efficiency. The MASRE system comprises two core modules of the Web system module and the AI analysis module. The Web system module is responsible for work hours and efficiency statistics, and the AI analysis module supports the automatic identification of invalid work hours. The system is implemented by PyTorch, VUE 3, and MySQL. The work hour and efficiency analysis developed by this system and written by its research report are taken as an example to conduct experimental analysis. The results show that the MASRE system can identify invalid work hours and perform work hour statistics and efficiency analysis. Meanwhile, the system MASRE is now available at https://icnc-fskd.fzu.edu.cn/htower/, and research labs can apply for free use.