The video surveillance system has been widely used in various fields, its size is also growing, often contain hundreds of thousands of cameras, most of the video signal to background video for postmortem investigation or forensics, long time no one checks, often in unexpected events in the video only discovered the corresponding camera video blurred even for less than effective video, I developed KSQ2000 video quality analysis system to solve the problem, the system through the IP network video server ( DVS), digital video recorder (DVR), network camera (IPC) connection, video quality analysis based on polling, the alarm signal is given when the video quality is not normal, alert staff to timely inspection and processing. Main functions: 1. Loss of video signal loss detection automatically detects the camera or video transmission failure caused by video phenomenon. The video clarity abnormal detection automatically detects the video focus improper lens damage, the foreign body shielding as well as has not been cleaned for a long time due to image blur or noise problems. 3. Caused due to camera failure, abnormal lighting conditions or occlusion in the video brightness detection automatically detects the video screen is too dark or too bright. 4. Of video interference detection automatically detects the video image in corrugated or point linear interference caused image distortions, snowflakes, jitter or scroll phenomenon. Video color cast detection automatically detect screen color cast caused due to poor contact, external interference or camera failure. 6. Improve the management capabilities can easily add the need to detect camera detection conditions can be flexible configuration and alarm, the video quality is not the normal time alarm automatically record video to the staff and generate a log synchronization is detected. Scoring mechanism on the basis of the detection through a comprehensive analysis given and subjective effects consistent video quality evaluation.