?Dynamic Face Recognition Access Control with Turnstile Systems

With the development of the Intelligent era,  there are many places where dynamic face recognition access control gates are applied. Dynamic Face recognition access control gates are used in different scenarios,  the specific solutions are different. So what are the specific advantages of dynamic face recognition access control gates/turnstile? A set of dynamic face recognition access control gates mainly compose by Smart swing or flap gate, JINYINGdynamic face recognition access controller, drive system, infrared sensor, card reader adapter bracket, LED indicator light, door wing, card reader panel, test button, swing gate key, maintenance tools, etc. The main advantages of dynamic face recognition gates： 

1. Multifunction 

The turnstile/gate integrates multiple systems such as access control, visitors access control, and time attendance, which can realize multiple functions without manual management. 

2. Security and Speed in usage 

Combined with the dynamic face recognition system to prevent counterfeiting andClock in on behalf of others, visitor registration is fast and the recognition error rate is small.

 

3、Realize unattended function 

Free your hands, no need for manual registration and get statistics, everything is realized online, such as real-time data query, convenient table extraction.  Three advantages of face recognition access control attendance management.   Naturalness: This face recognition method is the same as the biological characteristics used by humans for individual recognition. It distinguishes and confirms identity through observation and comparison, while fingerprint recognition and iris recognition are not natural.  Non-contact: Compared with other biometric technologies, the face recognition time attendance system is non-contact, the user does not need to directly contact the device, and at the same time, it can satisfy the sorting, judgment, and recognition of multiple faces in actual application scenarios.  Optional: The recognized face image information can be actively obtained without being detected by the individual being tested. Face recognition uses visible light to obtain face image information.  How does face recognition access control recognize faces?  

Face capture and tracking function

Face capture refers to detecting a portrait in an image or a frame of a video stream, separating the portrait from the background, and automatically saving it. Portrait tracking refers to the use of portrait capture technology to automatically track a designated portrait when it moves within the range captured by the camera. Face recognition access control mainly relies on this technology to recognize faces.  

Face recognition comparison

Face recognition has two comparison modes: verification and search. Verification is to compare the captured portrait or the designated portrait with a registered object in the database to verify whether it is the same person. The search-style comparison refers to searching for the existence of the designated portrait from the registered portraits in the database. The "intelligence" of face recognition access control is precisely because it can compare collected faces.   

Modeling and Retrieval of Human Face

The portrait data registered in the database can be modeled to extract the features of the face, and the generated face template (face feature file) can be saved in the database. When searching for faces (search style), the designated person is modeled, and then it is compared with all the templates in the database for recognition. Finally, the highest similarity will be listed according to the compared similarity value List of people. So, when you can enter and exit the door, it means that the face recognition access control has searched that you are the only "right man".  

Real person identification function

The system can identify whether the person in front of the camera is a real person or a photo, so as to prevent photo fraud. This technology requires the application of live detection technology for face recognition.  

Image quality inspection

The quality of the image directly affects the recognition effect. The image quality detection function can evaluate the image quality of the photos to be compared, and give corresponding suggested values to assist the recognition. There is no doubt that any new technology cannot be perfect in the development stage, and some imperfections require time to be determined. Solving the problems in the face recognition process is one of the driving forces for continuous technological progress.