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IEEE/ICACT20230170 Question.10 Questioner: m11007503@gapps.ntust.edu.tw 2023-02-18 오후 8:10:24	IEEE/ICACT20230170 Answer.10 Answer by Auhor phamdinhlam@kyonggi.ac.kr 2023-02-18 오후 8:10:24
Thank you for the explanation, In the slide 10. The architecture uses real time frame processing with multiple CCTV source. By using high frame from the CCTV video also process the frame to detect object using YOLO. The question is how this system handle computational constraints that must be handle in real time while maintaining system performance to display CCTV video in real time? Thank you.	Thank you for your great question. As we know, keeping system performance to display CCTV video in real-time while using YOLO to detect object in the video is the difficult task. In our system, first of all we don't display all CCTV cameras. The system only detects object in the video using YOLO and stores these information in a JSV format to retrieval content from the video in the future. In case of displaying some CCTV camera from requesting of the security officer, the system will only display the requested cameras. Furthermore, all the processing videos are processed in a queue using different CPU threads. Our system is also under updated for displaying more CCTV camera in real-time by using some video compressing techniques before detecting objects.

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