1, dual-track automatic tracking: intelligent analysis camera plus ordinary fast ball. It can be applied to urban police emergency plans. Incident object tracking.
2. Flow statistics: The number of people entering and exiting the statistical box is used to analyze and count customer flow in supermarket shopping malls and help merchants formulate corresponding sales strategies. Applied to attractions, subways, and provide traffic data for personnel control applications.
3. Cross the alert area: Set up a virtual fence to detect the perimeter. When suspicious persons or objects are found crossing the fence, an alarm is triggered and an alarm signal is uploaded to the monitoring and management center. At the same time, the alarm screen can be uploaded to remote monitoring users through the network. It is applied to traffic crossing pedestrian crossings or zebra crossings, plant wall areas, schools, and detention centers.
4. Lost analysis: Draw an area where important items are placed on the monitor screen as an alert area. As soon as the item leaves the alert area, the alarm rule will be triggered immediately. Applied to key protected areas such as museums, exhibition halls, auctions, gold and silver stores, etc.
5, direction analysis: In the actual monitoring, people may care about the direction of the flow of people and the direction of movement of the traffic, through the identification of the direction can determine whether the target is not legal walking or driving, if there is reverse behavior, the target will be automatically locked, And alarm at the same time. Roads that apply to one-way travel; important entrances and exits.
6. Intelligent tracking: Targeting a suspicious person or object and recording the trajectory of the target, and the camera will follow the target to turn and alarm. Applicable to high-grade residential areas, personnel banned areas, confidential areas, important protection areas, etc. And can be used as the incident after the analysis of the trajectory of the case playback process. To quickly solve the case. Although smart video analysis technology has developed rapidly in recent years and the scope of application has continued to expand, there are already a variety of network monitoring products on the market, such as network cameras, network matrix, etc. However, due to the quality of these products still need to be improved, the image looks like Obvious delays, jitters, lack of clarity and other defects, due to the lack of stable performance of the hardware itself, prone to crashes, restarts, mistakes and other problems reported. The limitations of the intelligent video analysis algorithm itself can realize all its functions in an ideal environment. Therefore, in practical applications, only simpler functions can be implemented initially.At present, these technology applications have also been very extensive, they are centered in our lives. Future intelligent analysis technology will be further improved in the following five technologies.
Smart Streaming Technology
The smart code stream is the system according to the image recognition, according to the movement speed of the main body of the picture, the normal recording video stream adjustment, the final video storage. For slow-moving subjects, stream recording can be as low as 8 frames per second (fps) or less. For normal-movement subjects, the codestream is set to 25fps, and the video stream of moving objects for sensitive images can be set. Set at 30fps or more. For high-speed moving subjects, with high-speed cameras, the code stream can be up to 1000fps. Intelligent stream technology can reduce the use of non-sensitive images to occupy video storage resources, thus providing adequate recording capabilities for sensitive images.
Dynamic Region Adaptive Intelligent Monitoring Technology
Taking a garage video surveillance screen as an example, the sensitive information on the screen is the moving vehicle and people. Insensitive pictures are backgrounds (ground and roof). However, in actual video recording, the background (ground and roof) occupies more than 50% of the storage space. With the image recognition technology, it is possible to determine the fixed background and the moving object image, and therefore, there is a technical possibility that there is motion only in the recorded picture. Dynamic area intelligent monitoring only records moving objects other than the background, which greatly reduces the need for video storage space. The same storage space and the length of video that can be retained can be doubled. The camera system, through image recognition technology, can learn intelligently and determine which images are backgrounds. Even if the camera is controlled by the PTZ, the new background in the recorded video can be automatically determined through automatic learning within the set time. Intelligent monitoring of moving object images.
Low-rate recording technology in non-sensitive areas
The 25% to 30% area above the video, usually the top image of the sky or building, is basically an area where sensitive features are unlikely to occur. For example, the image of the red mosaic part in some typical surveillance images does not basically contain the video content that people care about. Therefore, the non-sensitive area of ​​the video image may be ignored or recorded in a lower stream, only during playback. High-speed video makes a sync. It is worth noting that the non-sensitive areas are different in different application scenarios, and some may be under the video image, some monitoring scenes, non-sensitive areas are irregular, and can be placed in the video surveillance system, according to the actual The situation is then manually set at the application level.
Face/vehicle recognition (or other sensitive moving objects) driving high-definition video recording technology
In special circumstances, such as entrances to buildings, elevators, etc., human faces are sensitive images. In the garage and in the entrance and exit of the community, the vehicle and its number plate are sensitive images. If all high-definition video can meet the monitoring needs, but video storage, especially long-term preservation will require a huge amount of storage space; if according to image recognition technology, determine the presence of sensitive images, only to drive the camera to start HD recording, for general non-sensitive images, start standard-definition or even low bit rate video streams for recording. This combination of high-definition and standard-definition monitoring records ensures the quality of record-sensitive images while reducing the amount of video storage to a large extent.
Sequence frame video file distribution storage technology
Frames generated within one second of the video are identified as sequence frames. At the same time, the storage and playback sequences are compiled. The frames of different sequences are divided into several files for storage; a single frame sequence file can be played independently, and the effect is equivalent to the video recorded in the low stream. effect.
All frame sequences can be synthesized when the full video is played together, and HD (or SD) video effects are available. When the storage space needs to be reclaimed, it can be planned according to the storage strategy, and the area occupied by a part of the sequence frame video files is covered first. The other part is saved to make more efficient use of storage space.
For example, according to the original storage capacity, one month of video data may be retained, and after the distribution and storage of the video frame files, the file data of the selected sequence of frame videos may be retained for several months. Partial coverage is applied to the video files of the sequence frames that have been reserved for the medium and long-term, and fade-in and fade-out videos are gradually discarded. Long-term retained video data does not disappear completely but disappears slowly and is discarded. This maximizes the time it takes to monitor video for retention.
D1Net reviews:
With the development of cloud computing and big data, intelligent video analysis plays a vital role in the future of big data applications. With many universities, research institutes, large-scale security companies, and professional algorithm companies for intelligent video analysis technology Constant exploration and innovation, intelligent analysis application products based on cloud computing and cloud storage concepts have shown signs of emergence, so intelligent video analysis technology will surely show rapid development and wide application in the future.
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