Optical fog technology

With the deterioration of the domestic fog and haze weather environment in recent years, the market demand for fog-penetrating cameras is very intense. Since optical fog-penetrating lenses are relatively expensive, in order to reduce the value of fog-penetrating cameras and achieve better fog-penetrating effects, mainstream IPC manufacturers have started to conduct research on the technology of camera video image fog penetration algorithm. Algorithm fog penetration can determine the concentration of fog and haze through the gray and white level of some areas based on the physical model of fog and haze, so as to restore a clear and haze-free image. The algorithm through fog can save the original color of the image, and at the same time can greatly improve the fog effect. Today's high-altitude observation monitoring used in traffic safety is also an optically transparent technology. From the two or three intelligent analysis functions such as motion detection and video occlusion introduced in 2011, HD IP cameras have developed to the past, and almost all mainstream security manufacturers' HD IP cameras have more than 10 standard intelligent functions. Of course, these intelligent functions are currently Most of the standard configurations are limited to mid-to-high-end industry products. According to market business applications, these intelligent analysis functions can be divided into the following points: 1. Diagnostic intelligence analysis. The diagnostic intelligent analysis of high-definition network cameras is mainly aimed at the common camera faults such as black screen, blurry, out-of-control PTZ, picture freezing, etc. of video images, and video signal interference such as scene changes, items left/disappeared, etc. for accurate analysis, discrimination and alarm . Diagnostic intelligent analysis technology is relatively simple to implement. Usually, these intelligent functions are integrated in the front end. Of course, the back end such as NVR also has similar diagnostic intelligent functions. 2. Recognition class intelligence analysis. This technology of high-definition network cameras tends to analyze and handle static scenes. Through image recognition, image comparison and form matching and other core technologies, the extraction and analysis of relevant feature information such as people, vehicles, and objects are completed. In the identification and analysis of the car, it is mainly the license plate recognition technology. License plate recognition technology is widely used in various parking lot entrances and exits, highway toll stations, etc., and it has developed rapidly in recent years: in conjunction with the traffic electronic bayonet system, license plate recognition technology is widely used for vehicle traffic violations. The number of vehicle traffic violations has been greatly reduced, and the occurrence of traffic accidents has been greatly reduced, especially the monitoring of high-altitude viewing. 3. Behavioral intelligence analysis. This technology of high-definition network camera focuses on the analysis and processing of dynamic scenes. Typical functions are: vehicle retrograde, defense zone intrusion detection, personnel focus detection, tripwire crossing detection, rapid movement, personnel hesitation detection, and passenger flow statistics. Motion detection (VMD) is the "early intelligence" in this type of intelligent analysis. VMD determines the motion changes of the pixel blocks in the video image. Because it is a two-dimensional image intelligent analysis, the false positives are high and the moving objects cannot be identified. Whether the pixel block is an interference or a purpose, coupled with the difference in algorithm technology between various security manufacturers, the accuracy of behavioral and identification intelligent analysis is generally not high.