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Subway Video Surveillance Solution

Overview

As an independent rail transit system, subway has become an important part of urban transportation hub and the public’s first choice for travel due to its transport efficiency, capacity, pollution-free characteristic, and immunity to ground road conditions. The continuously increased size of subway imposes greater challenges to subway in terms of operation and dispatching. On the other hand, the specific function and high crowd density requires stricter management of public security.

The selection of monitoring system is directly related to security and performance of subway security system. The existing subway monitoring system, if used effectively, may increase security capacity to a great extent but still works in a traditional mode in terms of monitoring capacity and effectiveness and is used for basic dispatching and afterwards evidence production instead of for protection and alert purposes in most cases. Furthermore, video image must be observed, controlled and analyzed manually. Security personnel are required to monitor images much more than they can handle so that monitoring is ineffective. Research results show that human eyes will ignore at least 95% of video image information after staring it for only 22 minutes. Therefore, we need an smart video system to improve surveillance efficiency and reduce the workload of security personnel.

As a leading video product developer and solution provider, BVT has long been engaged in the research and development of IVS system and has developed a full range of IVS products for perimeter and abnormal behavior monitoring. It changed the way video surveillance works. Instead of “passive” monitoring, the system actively analyzes video information, recognizes and differentiates objects, defines type of event, tags suspicious or abnormal behavior in the monitored area and reports the occurrence of event in addition to providing video.

The system increases the effectiveness and continuity of surveillance, improves monitoring capacity significantly by means of quicker response and powerful data retrieval and analysis and helps security personnel respond to attacks and emergencies more efficiently.

The solution uses cutting-edge computer vision algorithm to accurately recognize and alert against warning line crossing, alert area intrusion, loitering, wandering, gathering, and belongings left and abrupt change. Event is played back instantaneously upon alarm for recreating the scene, finding out the truth and maintaining a high security level for regional perimeter so as to increase the system capacity and enhance preventive measure.


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