8“ Dual Cameras Face Recognition Terminal 8212Z-1
YHT-8212Z Face Recognition Brake Partner
Product Profile:
8212Zisahighperformance,highreliability
facerecognitionproduct,relyingondeep
learning algorithm, it has the characteristics of fast recognition speed and high accuracy. Support 1:1 and 1:N mode of face recognition and external ID card reader. With the use of personnel channels, personnel access control can be realized.
Application scenarios:
Channel gates, schools, communities, office buildings, hotels, shopping malls, shops, public service places, etc.
Product characteristics:
● Industrial design, stable performance, smooth lines
● 8-inch IPS full-view LCD display
● The recognition accuracy rate is 99.99% 1 (99.77% under 1% error rate and 99.27% under 0.1% error rate).
● Recognition speed is less than 0.57 seconds
● 10000 Face Photo Library
● Supporting anti-backlighting
● Supporting biopsy
● Support Wi-Fi
● External ID Card Reader
1 The accuracy of recognition is 99.99%. The test method used is to compare the face in the face database (in which each person has multiple face photos) with all the faces in the database except the face, and to compare whether the person with the highest score is the person to be recognized, and if so, it means that the recognition is accurate.
Technical parameter:
Screen |
Size |
8-inch IPS full-view LCD screen |
Resolving Power |
1280*800 |
|
Camera |
Image sensor |
1/2.7" Line-by-line scanning CMOS |
|
Type |
RGB Camera |
|
Resolving Power |
1920*1080 |
|
Field of View Angle |
90° |
|
White Balance |
automatic |
|
Widedynamics |
Support |
|
Focal Length |
3.6mm |
|
Aperture |
F2.2 |
|
Image sensor |
1/2.9" Line-by-line scanning CMOS |
|
Resolving power |
1920*1080 |
|
Audio output |
1-way 3.5 mm standard interface |
Serial |
1way-RS232 |
|
Interface Function |
Relay output |
1-way open-door signal output |
Wigan Output |
1-way Wigan 26/34 |
|
Reset interface |
Cable terminal Reset button |
|
Network interface |
1 RJ45 100M Ethernet Port |
|
USB interface |
1-way USB 2.0 |
|
Face Detection |
Simultaneous detection and tracking of five people |
|
Recognition accuracy
|
99.99%(99.77% recognition pass rate under 1% error rate; 99.27% |
|
recognition pass rate under 0.1% error rate) |
||
Biological examination |
Support |
|
Face Capacity |
30,000 Face Photos |
|
Stranger Detection |
Support |
|
Recognition Distance |
Support |
|
Configuration UI Interface |
Support |
|
Coventional Paramenters |
Remote Upgrade |
support |
Deployment mode |
Public and Local Area Networks |
|
Operating system |
Android 5.1 |
|
CPU |
4-core Cortex-A17, main frequency 1.6GHZ |
|
Storage capacity |
Memory 2GB, storage 8GB |
|
Protection level |
IP54 |
|
Power Supply |
DC 12 V/2A |
|
Working temperature |
-15 ℃~75 ℃ |
|
Working humidity |
10%~90% |
|
Power waste |
Max. 15 W |
|
Equipment dimensions |
272.5 mm × 133 mm × 26 mm |
|
Weight |
2kg |