Intelligent Face Recognition System

Why Face recognition system is popular?

The access control system is mainly based on card devices, fingerprint devices and RFID settings. Bur the cards and RFID are easily forgot to take or lost, which are not only inconvenience, but also baring security risks. If the card is obtained by a criminal,theft can be implemented.

 

 

Fingerprint devices can solve the shortage of card products. However,about 5% of people cannot use fingerprint recognition for their wet or peeling fingers. In addition,it often takes consecutive times to identify fingerprints when the season is changed or the weather is humid. What’s more,diseases can be spread easily by fingerprints contact.

 

 

Fingerprint devices can solve the shortage of card products. However,about 5% of people cannot use fingerprint recognition for their wet or peeling fingers. In addition,it often takes consecutive times to identify fingerprints when the season is changed or the weather is humid. What’s more,diseases can be spread easily by fingerprints contact.

 

 

The advantages of face recognition technology are as follows: convenient non-contact recognition and face recognition preventing the spread of disease from the source; on-site human facial feature recognition solving the security risks caused by the loss or forgetting of access cards. Face recognition is a biometric technology that uses the facial features of a person to reach identification. It’s a technology that using camera to capture images or video streams containing faces,and automatically detect and track faces in the images library,and then perform a series of related techniques including face image acquisition,face positioning,face recognition pre-processing,memory storag and comparison recognition,based on the detected faces,to achieve the purpose of identifying different people.

 

 

Technical specifications
Nuclear parameter Operating System Linux
CPU Dual core arm cortex-a7
SDK Support C++/C#/Java/Android/Linux
Device interface 8GB memory, 8GB storage
Support for external expansion of tfcard,
with a maximum support of 256g
Local storage 20000

 

 

Screen Size 7-inch TN LCD
Resolving power 600 * 1024 high clear screen
Screen dormancy Supported, and the duration can be customized

 

 

Camera Resolving power 200W*2
Type RGB camera + infrared night vision camera
Aperture F2.0
Focal length 6mm
White balance automatic
Wide dynamic Support

 

 

Function Face detection One RJ45 10m / 100M adaptive Ethernet port
Recognition speed Less than 50ms
1: N face recognition 99.8%
Stranger detection Supported and can be saved
In vivo detection Support
Helmet detection Support
Multiple modes of person + card + card Support
Night light supplement Support
UI interface configuration Support customization
Deployment mode Support the use of public network and local area network

 

 

Conventional parameters Power Supply DC12V
Waterproof grade Ip67 (flat plate) IP65 (cylinder)
Safety protection Air ± 8Kv, contact ± 6kV, surge ± 2KV, group pulse ± 2KV
Working temperature -40℃~70℃
Working humidity 10%~90 %
Power waste 5W

 

 

Main Feature

 

1.Support card swiping (IC)

2.Support scanning QR code

3.It supports infrared sensing of human body,senses that the human body lights up the fill light,lights up the screen,starts face recognition,automatically turns off the screen and the fill light within 5S after there is no face,and the fill light can be turned on and off and brightness can be adjusted

4.Support for binocular cameras: reduce the impact of facial expressions and the risk of photo fraud can be used during the day and night

5.Support 485 signal / switching value signal / Weigand interface signal output

6.Support in vivo detection

7.Support the storage of more than 3000 faces

8.Support wall hanging and bracket installation

 

Size

 

 

Face recognition system diagram

 

 

JUTAI face recognition device screen interface

 

 

JUTAI face recognition system software interface

 

 

Installation instructions

Wire instructions

According to the needs of the installation site, open a 50mm diameter hole in the space position on the gate, generally in the middle or front side, as shown in the figure, ⊙is the recommended opening position.

Note: The opening position should be based on the actual application scenario and the type of gate.

 

 

Insert the face recognition machine and cable from top to bottom into the opening of the gate, under the gate, pass the cable and cable interface through the gasket and nut in turn, and align the nut with the thread, as shown in the figure.

Note: Do not connect the network cable, power cable, etc. at this time to avoid installation trouble.

 

 

Connect the power supply and network cable, and start the screen.

Hold the equipment with both hands and rotate gently to adjust the gate angle. According to the identification interface, adjust the gate head to the appropriate identification angle.