At present, big data applications have begun to be implemented in the construction industry. Video surveillance from front-end video technology to mid-range mass storage to back-end big data analysis is a complete big data technology application, and there are only a handful of service providers that can propose a total solution.
Video surveillance is an important part of the security system. Traditional monitoring systems include front-end cameras, transmission cables, and video surveillance platforms. Video surveillance has always played an unquestionable role in all areas. As one of China's pillar industries and a safety accident-prone construction industry, video surveillance has become the standard facility for every construction project. With the high-definition video surveillance and the popularization of intelligent technologies, the video surveillance system application technology used in the project is also constantly innovating. Naturally, a huge amount of video and image data is generated, which brings a series of tests to traditional back-end storage and intelligent analysis. The requirements for facilities built with intelligent technology are also increasing.
Traditional video surveillance systems usually implement security protection through personnel monitoring and video recording. In fact, they are not proactive and effective. Due to the limited number of displays, real-time monitoring and early warning of security risks is not possible. There are too many monitoring points, and personnel monitoring cannot take into account all monitoring scenarios. Monitoring personnel's attention is also difficult to ensure accurate and efficient monitoring of all scenarios within 24 hours.
Later video and video analysis also requires a lot of manpower and resources. For example: "8.10 Chongqing shooting and robbery case" shocked at home and abroad. In order to find the criminal suspect Zhou Kehua in the video surveillance video, the local public security department used about 2000 police forces to conduct video search for up to ten hours of playback every day. The total number of video views is equivalent to 830,000 movies, which consumes a lot of manpower and resources. Also in the construction industry, manual playback of surveillance video is a very inefficient thing.
At present, big data applications have begun to be implemented in the construction industry. Video surveillance from front-end video technology to mid-range mass storage to back-end big data analysis is a complete big data technology application, and there are only a handful of service providers that can propose a total solution.
All the construction projects equipped with the national smart site big data cloud service platform, the front-end video surveillance points all use 2 million high-definition network cameras, through the local equipment selection to achieve full HD network video surveillance coverage. By separating the background and foreground objects in the scene, and then detecting, extracting, and tracking the targets appearing in the scene and performing behavior recognition, the suspicious video is encountered and recorded in time. Achieve "pre-recording in advance", "instant alarm in the event" and "after the event", making monitoring of all monitoring scenarios simple and efficient. The monitoring staff's work intensity and work pressure are greatly reduced, and it is not necessary to pay attention to all the details of all the scenes at all times. The back-end uses a cloud storage system, which supports massive video storage and ensures the security and stability of video storage. Centralized storage management also provides protection for the expansion of monitoring equipment.
In the intelligent analysis of a large number of high-definition video images, the hardware configuration and processing performance requirements of the back-end server are very high, so the user's use cost will be greatly increased. And long-term analysis and viewing is a time-consuming and energy-intensive task for managers. The front-end video intelligent monitoring device equipped with the National Smart Site Big Data Cloud Service Platform implements the back-end intelligent analysis part function to move forward to the camera front end. Concentrate the abstract and retrieve the video. The original 5 minutes of surveillance video, through intelligent extraction, for concentration analysis, can reduce the video to 20 seconds. It not only saves storage space, but also enables managers to have a better user experience and save a lot of cost for the enterprise.
The national smart site big data cloud service platform video surveillance system uses intelligent video analysis technology to collect, analyze, identify and provide effective data to the back end. The cloud platform stores the video data in a cloud manner, secondary depth analysis and prediction. As a result, closed-loop applications from the front end to the platform to the back end are provided for video surveillance in the construction industry. The level of intelligent analysis of the construction site by the National Smart Site Big Data Cloud Service Platform has been quite high. It has realized the identification and separation of objects, the recognition of faces, the recognition of color alphanumeric characters, the analysis of object changes and even Monitoring of suspicious behavior.
The National Smart Site Big Data Cloud Service Platform realizes the combination of big data technology and video surveillance, and isolates the video content through the processing of big data technology to form a visualized result presentation. This transformation can create more intelligent and efficient use of the video surveillance service. The way, users can be freed from the heavy observation of video surveillance labor, and can easily and efficiently make effective and accurate decisions through video surveillance.
Video surveillance is an important part of the security system. Traditional monitoring systems include front-end cameras, transmission cables, and video surveillance platforms. Video surveillance has always played an unquestionable role in all areas. As one of China's pillar industries and a safety accident-prone construction industry, video surveillance has become the standard facility for every construction project. With the high-definition video surveillance and the popularization of intelligent technologies, the video surveillance system application technology used in the project is also constantly innovating. Naturally, a huge amount of video and image data is generated, which brings a series of tests to traditional back-end storage and intelligent analysis. The requirements for facilities built with intelligent technology are also increasing.
Traditional video surveillance systems usually implement security protection through personnel monitoring and video recording. In fact, they are not proactive and effective. Due to the limited number of displays, real-time monitoring and early warning of security risks is not possible. There are too many monitoring points, and personnel monitoring cannot take into account all monitoring scenarios. Monitoring personnel's attention is also difficult to ensure accurate and efficient monitoring of all scenarios within 24 hours.
Later video and video analysis also requires a lot of manpower and resources. For example: "8.10 Chongqing shooting and robbery case" shocked at home and abroad. In order to find the criminal suspect Zhou Kehua in the video surveillance video, the local public security department used about 2000 police forces to conduct video search for up to ten hours of playback every day. The total number of video views is equivalent to 830,000 movies, which consumes a lot of manpower and resources. Also in the construction industry, manual playback of surveillance video is a very inefficient thing.
All the construction projects equipped with the national smart site big data cloud service platform, the front-end video surveillance points all use 2 million high-definition network cameras, through the local equipment selection to achieve full HD network video surveillance coverage. By separating the background and foreground objects in the scene, and then detecting, extracting, and tracking the targets appearing in the scene and performing behavior recognition, the suspicious video is encountered and recorded in time. Achieve "pre-recording in advance", "instant alarm in the event" and "after the event", making monitoring of all monitoring scenarios simple and efficient. The monitoring staff's work intensity and work pressure are greatly reduced, and it is not necessary to pay attention to all the details of all the scenes at all times. The back-end uses a cloud storage system, which supports massive video storage and ensures the security and stability of video storage. Centralized storage management also provides protection for the expansion of monitoring equipment.
In the intelligent analysis of a large number of high-definition video images, the hardware configuration and processing performance requirements of the back-end server are very high, so the user's use cost will be greatly increased. And long-term analysis and viewing is a time-consuming and energy-intensive task for managers. The front-end video intelligent monitoring device equipped with the National Smart Site Big Data Cloud Service Platform implements the back-end intelligent analysis part function to move forward to the camera front end. Concentrate the abstract and retrieve the video. The original 5 minutes of surveillance video, through intelligent extraction, for concentration analysis, can reduce the video to 20 seconds. It not only saves storage space, but also enables managers to have a better user experience and save a lot of cost for the enterprise.
The national smart site big data cloud service platform video surveillance system uses intelligent video analysis technology to collect, analyze, identify and provide effective data to the back end. The cloud platform stores the video data in a cloud manner, secondary depth analysis and prediction. As a result, closed-loop applications from the front end to the platform to the back end are provided for video surveillance in the construction industry. The level of intelligent analysis of the construction site by the National Smart Site Big Data Cloud Service Platform has been quite high. It has realized the identification and separation of objects, the recognition of faces, the recognition of color alphanumeric characters, the analysis of object changes and even Monitoring of suspicious behavior.
The National Smart Site Big Data Cloud Service Platform realizes the combination of big data technology and video surveillance, and isolates the video content through the processing of big data technology to form a visualized result presentation. This transformation can create more intelligent and efficient use of the video surveillance service. The way, users can be freed from the heavy observation of video surveillance labor, and can easily and efficiently make effective and accurate decisions through video surveillance.
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