Bi-directional access control system automatic flap barrier turnstile gate with face recognition

1. Smartcard reader compatible with a variety of RF cards, such as Mifare-1, EM.
2. Can be expanded to automatic identification system, realizing function of access control, pedestrian flow control,attendance check or fare collection.
3. Equipped with international standard electrical interface, can be easily integrated with other R/W device, also can be controlled and management through remote supervision computer
4. Equipped with a couple of infrared photocells, alarm at unauthorized entry or tailgating attempts,  together with anti-strike function to protect pedestrian
5. LED gate direction indicator that displays the current operational state to pedestrian. Green arrow for entry free, Red cross for passage locked.
6. Can open the turnstile by two input signals (signals can be input by access controller, button or other equipments)
7. Provide audible sound prompt and information display function.
8. The flaps will open automatically during power interruption, and recover N/C mode after power on(optional)
9. Counting function. Flap closes after passing N pedestrians continuously by reading cards N times correspondingly (N<=16)
10.Reversed passing alarm function, barrier will alarm if pedestrian pass from opposite direction after reading the card.

11.The integrative terminal of face recognition uses the world's leading face detection and recognition algorithm, runs it in high performance embedded platform, coordinates 200W pixel camera, realizes face detection, face tracking, and face recognition

a.Support external HDMI large screen;

b.Support external ID card / RFID reader;

c.Support serial port input and output, support Wiegand output, output content supports configuration;

d.Support the RFID card , can also achieve the integration of human cards;

Dynamic face detection based on video stream and tracking recognition algorithm are adopted;

e.Support to store 50, 000 face photos, 1 million recognition records;

f.The accuracy rate of 1: N recognition is high (99.7% under 97% pass rate).

g.Recognition speed is fast, face tracking and detection takes about 20ms time, facial feature extraction takes about 300ms, and face comparison takes about 0.1ms.

h.Support stranger detection, stranger level can be configured;

i.Support face recognition or stranger detection of the scene of the photo preservation;

Support interface docking;

j.Support screen display content configuration;

k.Support identification distance configuration.