Abstract
The remote video diagnosis system based on the Internet of Things is based on the Internet of Things and integrates advanced intelligent technology. To better promote a harmonious society, constructing a video surveillance system is accelerating in our country. Many enterprises and government agencies have invested much money to build video surveillance systems. The quality of video images is an important index to evaluate the video surveillance system. However, as the number of cameras continues to increase, the monitoring time continues to extend. In the face of many cameras, it is not realistic to rely on human eyes to diagnose video-solely quality. Besides, due to human eyes’ subjectivity, there will be some deviation in diagnosis through human eyes, and these factors bring new challenges to system maintenance. Therefore, relying on artificial intelligence technology and digital image processing technology, the intelligent diagnosis system of monitoring video quality is born using the computer’s efficient mathematical operation ability. Based on artificial intelligence, this paper focuses on studying video quality diagnosis technology and establishes a video quality diagnosis system for video definition detection and noise detection. This article takes the artificial intelligence algorithm in the diagnosis of video quality effect. Compared with the improved algorithm, the improved video quality diagnosis algorithm has excellent improvement and can well finish video quality inspection work. The accuracy of the improved definition evaluation function for the definition detection of surveillance video and noise detection is as high as 95.56%.
Highlights
The video monitoring system is being constructed in China in order to promote the development of a harmonious society
The intelligent diagnosis system of monitoring video quality based on the computer efficient mathematical operation ability relies on artificial intelligence technology and digital image processing technology
This paper focuses on video quality diagnosis technology based on artificial intelligence and establishes a video quality diagnosis system of video definition detection, video color deviation detection, and video noise detection
Summary
The video monitoring system is being constructed in China in order to promote the development of a harmonious society. The intelligent diagnosis system of monitoring video quality based on the computer efficient mathematical operation ability relies on artificial intelligence technology and digital image processing technology. Video definition detection [6]: automatically detects the image blur of the central part of the field of vision caused by improper focus and lens damage in the video; the function evaluates the clarity of the real-time video picture and the content of information. Video color deviation detection [9]: automatically detects screen color deviation caused by poor line contact, external interference, or camera failure, mainly including the color deviation of the whole screen with single color or mixed colors; the function analyzes the color information of video, and its feature is that when there is rich color in the video, it can distinguish them from natural scenes or from camera fault, which makes camera color detection practical. This paper focuses on the video definition detection and video noise detection in video quality detection
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