chrispeng [ad_1]
As biometric systems become feasible, let’s take a look at what surveillance installations feature in real-world applications. Next, we take the monitoring center system of a railway station in a domestic city as an example to analyze the successful application of the face recognition system in urban security monitoring.
Case background
A railway station in a certain city is located in an important geographical location and is on the verge of many prosperous commercial blocks. The passenger flow inside and outside the station is large, there are many mobile criminals, and various criminal cases often occur. There are all kinds of special groups hidden among the pedestrians entering and leaving the station. When it is necessary to identify and prevent these personnel, how to find them accurately and effectively has become a problem that the station public security and security departments are eager to solve.
According to the current mode of the entry and exit management process of most domestic railway stations, the entry gate, exit gate and ticket gate of the railway station are all manned positions, and they are the places where passengers must pass. In addition, the flow of passengers in such areas will slow down, because each passenger will be captured by cameras during this time. When there is a search task for a special group of people, the above-mentioned locations will become the places that the public security and security departments pay the most attention to. Usually, relevant departments will install video surveillance equipment at entry and exit gates and ticket offices, and monitoring and maintenance will use the particularity of these locations to arrange and implement information networks, and collect passengers’ facial information for identification. However, manual search and comparison have great limitations, such as: human memory is limited, and usually cannot clearly remember the facial features of objects in short-term contact; cannot identify multiple objects at the same time; cannot maintain attention and identify for a long time force and so on. Therefore, the role of existing security systems in such applications is very limited, and relevant departments urgently need to introduce face recognition technology to improve the efficiency and effectiveness of security protection.
Scheme design and features
Combined with the comparison of various biometric technologies introduced above and the analysis of the background requirements of the case, we choose the face as the recognition feature. The main reasons are:
● Intuitive and natural. In this case, the manual identification of security staff also uses the face as a feature, and the use of face recognition technology is most in line with the work habits of security staff.
● Non-contact and convenient. Due to the large traffic at the train station, a certain speed of passage must be guaranteed to avoid waiting and stranded passengers. Therefore, it is not suitable to use biometric identification technologies with slow response speed, such as fingerprints, palm prints, iris, etc., which require the active cooperation of passengers.
● Cost. In this case, relevant departments have installed video recording systems at various key locations. Customers want to be able to make changes to the system as small as possible and at low cost. Fingerprint, palmprint, iris and other identification methods require the installation of new collection equipment, which must be re-wired, installed, and debugged. The workload is large and the cost is high. The front end of the portrait recognition system can fully utilize the cameras in the existing security system, and only a face comparison server needs to be configured at the back end, which has a small workload and low cost.
[ad_2]
