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Dynamic Recognition

 


Features
In usual surveillance solutions, the face source is from front-end videos and pictures, which leads to great pressures for back-end platform. Because there are too many encoding and processing enquiries for the platform and the bottleneck existing in bandwidth, the usual surveillance system is not able to achieve intelligent monitoring function on a real-time basis.
In order to solve this problem, we relocate the face recognition function from the back-end to the front-end; therefore, the effectiveness and reliability of the intelligent analysis are increased while the costs of building back-end platform are decreased. 


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This product has 4-12 ways of high-definition 1080P encoding for face recognition analysis. It adopts GPU graphic processor to process images and videos.
The product supports varied types of CARD interfaces and slots (one PCIe(x16) & PCI1 or PCI2 extension slots). It also has flexible I/O settings, two USB 3.0, four USB 2.0, eight COM ports and two GigE. It comes with SDK and related protocols to export results of face comparison to third-party platforms

 
Functions
●     Through face recognition core algorithm, the system will compare attribute code between a face image and the database. The comparison results depend on the rules set by users. If a result triggers alarm then it will be sent to the security platform and be written to local database.       
●   The system receives attribute values from any face images that are under face feature extracting and classifying services. Then, it compares those attribute values under 1:N mode.
     ● It presents face comparison results: aim at similarity, results may trigger alarms.
● Information of face comparison result includes: Face ID information of comparison results, face features information of comparison results, registered face image (highest similarity), face image capture dynamically, real-time dynamic comparison times, face identification information, genders, and ages.
● It compares images captured by front-end and received by the server. The comparison is based on a real-time basis. Server will feedback the comparison immediately. The comparison speed is up to million times per second. The system support huge volume of face database. Under 1:N mode, millions of faces can be registered in database. It supports multiple front-end terminals connected at the same time. It also supports thousands of comparison links. 
● The system receives great amount of comparison results from front-end terminals and classifies alarmed information for further management.
● It records and counts alarmed information and equipment information to generate varied files and reports.  
● It provides rich API interface and invoking links. It is easy and fast to communicate with third party platform.
 
 
 
Applications

Mobile public security check points
Police officers can ask any individual to present valid IDs, which can be verified immediately anywhere anytime via our product. It effectively prevents suspects from skipping.

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Mobile face monitoring (real name verification) in train stations, subways, airports and etc.

Random identification check for passengers. Achieve real name verification and provide safeguard to those passengers.