The Environmental Protection Agency has set operating rules for the recycling and dismantling of waste household appliances and waste information equipment. Currently, whether there is a violation of the set rules during the processing operation is judged by manual monitoring of the video footage. However, there are many drawbacks with the current procedure. For example, watching the monitor video for a long time can lead to fatigue of the auditors, or the interpretation standard is easy to vary from person to person. Therefore, we develop an AI-based intelligent image interpretation system in this project to improve the accuracy and efficiency of the interpretation, reduce the burden on manpower, shorten the time of manual interpretation, and improve the quality of audit certification operations. This project is aimed at monitoring whether there is abnormal entry and exit of cargo vehicles during non-audit and certificated period, and whether the refrigerant leaks during the refrigerant extraction operation. In the part of refrigerant leakage detection, we optimized the prototype algorithm proposed last year, and the optimized model has better recognition performance and generalizability, as well as lower false positive rate. Through a one-month field test at 14 subsidized institutions, the average film length saving rate of the proposed algorithm reached 92% and the recall rate can reach 95%. Besides, we coordinated with the subsidized institutions to adjust the angle and position of the cameras that did not meet the requirements and redrew the interpretation area for abnormal entry and exit of cargo vehicles detection. We also conducted a one-month field test for 18 subsidized units and verified that the average film length saving rate of the proposed algorithm can reach 99%. The system developed in this project can really achieve the purpose of reducing manpower burden and improving the efficiency of audit and certification operations. Moreover, we formulate supporting measures for the CCTV intelligent reading inspection operation, so as to facilitate the integration of this project with the existing audit certification operation standard, and to make the best preparation for the future implementation of the system.

Refrigerant Leakage Detection, CCTV Surveillance and Interpretation , Unusual Entry and Exit Detection