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http://www.turnstilecn.com/resources/how-to-choose-suitable-swing-barrier-turnstiles-fo.html
http://www.turnstilecn.com/product/flap-barrier-gate/

Ounded in 2006, CXT Co.,Ltd. Is a national new hi-tech enterprise, Integrating R&D, production, sales and service in one. CXT commits to the smart pedestrian Control Management domain, It provide clients with professional and personalized Access Control Turnstile Access System solutions.

Face recognition attendance machine is a new storage class attendance machine. It only needs to collect the face image of employees in advance and establish files. When employees stand in the recognition area of the turnstile design machine, the attendance machine will quickly record the attendance status and save the records.

Face recognition attendance machine adopts the flap barrier system technology in current science and technology field - the face recognition technology (it integrates the computer image processing technology and biostatistics principles in one), extracts human image feature points from videos with the computer image processing technology, analyzes the feature points by using biostatistics principles, and establishes face feature templates.

When the registered personnel walk in front of the face recognition machine, it will have a voice prompt to indicate that the attendance has been successful. Moreover, it also has the function of image update. If the image being taken is used as the first face, the stored image is the second face. If the first face image is consistent with the second face image, the face recognition attendance machine will automatically store the first face image to update the second face image.

The face recognition attendance machine is mainly used for the attendance statistics of employees. When the employees sign in, the machine needs to collect the mugshots of employees through the camera, then the facial recognition algorithm is used to carry out the analysis and comparison between the eigenvalues obtained from the collected photos and the eigenvalues of employee face photos stored in the database in advance. After the recognition is successful, the name of the employee will be reported, and the attendance is successful.