With the popularization of video surveillance, video surveillance systems are installed in many communities, construction sites, workshops, factory areas, supermarkets, shops, hotels, restaurants and other places. When the installed video surveillance fails, how can we carry out simple video fault identification? If you only rely on manual identification and troubleshooting of video faults, the workload is quite large, especially in large-scale video surveillance systems, where thousands or even tens of thousands of cameras are integrated, the workload of manual inspection is very large. At the same time, there are problems such as time-consuming, many blind spots, subjective judgments, large hidden problems, inaccurate hand-written records of inspections, and low utilization value.
Now we can use AI technology to realize automatic inspection, which can not only cope with large-scale monitoring systems, but also break through the limitations of different scenarios.
one. AI automatic inspection
anyRTC's AI automatic inspection can achieve:
1. Regularly check the monitoring system and browse all cameras in real time to confirm whether they are normal. The inspection includes camera signal access, device power supply, and camera shooting location.
2. It is required to ensure that the video image quality is intact, the video playback is smooth, the picture is clear, and there is no interference (stripe interference, noise interference, video drastic change), black screen, occlusion, freeze, abnormal brightness, color distortion, blur, picture freeze, time deviation and so on.
Obvious occlusion:
Image blurring:
No video signal:
Blurred picture:
Color Distortion:
3. Automatically mark the abnormal surveillance cameras, and notify the administrator to confirm and rectify the abnormal cameras.
4. Automatically save inspection records, which is convenient for historical traceability when finding problems.
two. Advantages of AI automatic inspection
1. Efficiency
Based on the operation and maintenance management requirements of the user's video surveillance system, the automatic detection and fault alarm of the system are realized, which greatly reduces the manual investment in operation and maintenance and improves the inspection efficiency.
2. Specification
Through the intelligent monitoring of the video surveillance system, the operating status of the equipment can be grasped in real time, faults such as insufficient video storage days and missing video can be found in time, and industry management regulations are strictly implemented to ensure video quality and high availability of the system.
3. Precise
Relying on the new self-developed active video quality diagnosis technology, the industry-leading video AI diagnosis technology is created, and the system monitoring accuracy rate is as high as 99%.
4. Smart
Based on machine learning and efficient image processing technology, it can help users to easily implement applications such as equipment status monitoring, image quality monitoring, and video compliance monitoring of video surveillance systems. The monitoring cycle can be flexibly set according to user needs, and visual reports can be automatically generated.
three. looking to the future
With the continuous development of AI technology, anyRTC has also been following the pace of technology iteration. We are exploring the use of ChatGPT technology to realize artificial intelligence inspection virtual administrators. Large-scale AI intelligent inspection.
