2025-12-04
Video surveillance is a crucial component of security systems. Traditional surveillance systems consist of front-end cameras, transmission cables, and video monitoring platforms. Video surveillance has always played an undeniably vital role in various fields. In the construction industry, one of my country's pillar industries and prone to safety accidents, video surveillance has become a standard facility in every construction project. With the increasing prevalence of high-definition and intelligent video surveillance technologies, the application technologies of video surveillance systems used in projects are constantly innovating. This naturally generates massive amounts of video and image data, posing a series of challenges to traditional back-end storage and intelligent analysis. The requirements for facilities built using intelligent technologies are also becoming increasingly stringent. This is true, but is simply having surveillance video enough? Do we also need to set up access barriers, preventing just anyone from entering and exiting at will? Entry should require identification, and exit should require permission.
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Construction Site Turnstile
Traditional video surveillance systems typically achieve security through personnel monitoring and recording, but in reality, they cannot proactively and effectively guarantee safety. Due to the limited number of displays, real-time monitoring and early warning of safety hazards are impossible. With too many monitoring points, personnel monitoring simply cannot cover all monitoring scenarios. Furthermore, it is difficult to guarantee that monitoring personnel can accurately and efficiently monitor all scenarios 24 hours a day.![]()
The subsequent analysis of video recordings also requires significant manpower and resources. Currently, big data applications are beginning to be implemented in the construction industry. Video surveillance, from front-end video technology to mid-range massive storage to back-end big data analysis, is a complete big data technology application. Currently, only a handful of service providers can offer comprehensive solutions.
All construction projects equipped with the national smart construction site big data cloud service platform use 2-megapixel high-definition network cameras at all front-end video surveillance points. Through site-specific equipment selection, full high-definition network video surveillance coverage of the construction site is achieved. By separating background and foreground targets in the scene, and then detecting, extracting, and tracking targets appearing in the scene and performing behavior recognition, suspicious video is recorded promptly. This achieves "timely recording before events," "instant alarm during events," and "rapid post-event resolution," making monitoring of all scenarios simple and efficient. The workload and pressure on monitoring personnel are greatly reduced, as they no longer need to monitor every detail of every scene at all times. The back-end uses a cloud storage system, supporting massive video storage while ensuring the security and stability of video storage. The centralized storage management method also provides a guarantee for future expansion of monitoring equipment. When performing intelligent analysis on massive amounts of high-definition video images, the hardware configuration and processing performance requirements of the backend server are extremely high, significantly increasing user costs. Furthermore, prolonged analysis and viewing are time-consuming and energy-intensive for managers. The National Smart Construction Site Big Data Cloud Service Platform, equipped with front-end intelligent video monitoring equipment, moves some backend intelligent analysis functions to the camera front end. It performs video summarization and retrieval processing. What was originally a 5-minute monitoring video can be shortened to 20 seconds through intelligent extraction and condensation analysis. This saves storage space, provides managers with a better user experience, and significantly reduces costs for enterprises.
The National Smart Construction Site Big Data Cloud Service Platform's video monitoring system utilizes intelligent video analysis technology for front-end acquisition, analysis, and identification, providing effective data to the backend. The cloud platform stores video data, performs secondary in-depth analysis, and predicts results in the cloud, thus providing a closed-loop application for video monitoring in the construction industry, from front-end to platform to backend. The National Smart Construction Site Big Data Cloud Service Platform has achieved a high level of intelligent analysis of construction sites, enabling the identification and separation of objects, facial recognition, color, text, and number recognition, analysis of object changes, and even the monitoring of suspicious behavior.
The platform combines big data technology with video surveillance, processing isolated video content through big data technology to create visualized results. This transformation creates a more intelligent and efficient way to use video surveillance, freeing users from the tedious task of watching video feeds and allowing them to make efficient and accurate decisions easily through video monitoring.
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Video surveillance is a crucial component of security systems. Traditional surveillance systems include front-end cameras, transmission cables, and video surveillance platforms. Video surveillance has always played an undeniably important role in various fields. In the construction industry, one of my country's pillar industries and prone to safety accidents, video surveillance is a standard facility in every construction project. With the popularization of high-definition and intelligent video surveillance technologies, the application technologies of video surveillance systems used in projects are constantly innovating. This naturally generates massive amounts of video and image data, posing a series of challenges to traditional back-end storage and intelligent analysis. The requirements for facilities built using intelligent technologies are becoming increasingly stringent.
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Traditional video surveillance systems typically achieve security through personnel monitoring and recording, but they are not truly proactive or effective in ensuring safety. Due to the limited number of displays, real-time monitoring and early warning of potential safety hazards are impossible. With too many monitoring points, personnel simply cannot cover all monitored scenarios. Furthermore, it is difficult to guarantee that monitoring personnel can accurately and efficiently monitor all scenarios 24 hours a day.
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Setting up pedestrian access control systems, including turnstiles, can provide significant assistance. Innovation Technology has made substantial progress in intelligent access control management. Turnstiles combined with monitoring and biometric systems can achieve intelligent management and data statistics. Many construction site management teams have overlooked the importance of integrating pedestrian access control with intelligent monitoring; relying solely on video surveillance is far from sufficient for our sites.
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