Access Control System
VR
  • Product Details

Relying on professional technicians,Shenzhen Zento Traffic Equipment Co., Ltd. has rich experience in researching and developing products, one of which is our Shenzhen Zento School Turnstile Access Control System 8-inch non-contact Android face recognition machine. It is developed based on the latest industry trend and customers' needs. It is designed to meet the industry criterion. Shenzhen Zento Traffic Equipment Co., Ltd. have realized the importance of technology. In recent years, we have been investing heavily in technology improvement and upgrades and the research and development of new products. In this way, we can occupy a more competitive position in the industry.

Special Features:Waterproof / Weatherproof, OtherCustomized support:OEM, ODM, Customized logo, Online technical support
Place of Origin:ChinaBrand Name:ZENTO
Model Number:ZT-facesize:5 inch, 170 degree IPS LCD screen
Resolving power:480*854type:RGB camera
focal length:6mmwhite balance:automatic
Device Interface:Memory 2 GB, storage 8 GBaudio frequency:1 channel audio output(line out)
video:HDMI2.0 Type -A255091;Relay interface:1 relay interface
network interface:A RJ45 10M/100M Adaptive Ethernet Port


Product Description
Product characteristics
1. Supporting night light compensation with photosensitive sensor cooperation;
2. Support serial port, Wigan 26, 34 output, output content support configuration;
3. Dynamic face detection and tracking recognition algorithm based on video stream is adopted.
4. Support devices to store 10,000 people's databases locally. (a) Cloud platform devices support storing 50,000 face photos (less than 4,000 KB), 1 million recognition records (0.45 KB), 20,000 live snapshots (b) LAN devices support storing 20,000 face photos (photos are calculated according to 1,000 KB) and 1 million recognition records (including the most). Nearly 10,000 live snapshots;
5. When the face database is 3000, the recognition accuracy of 1:N is 7%.
6. Recognition speed is fast. (a) Face tracking and detection takes about 20 ms. (b) Face feature extraction takes about 200 ms.(c) Face comparison takes about 0.2 Ms. (1000 people database,average recognition takes many times). 0.5 ms. (10000 people database, average recognition takes many )
7. Supporting stranger detection and configurable stranger rank;
8. Supporting on-site photo preservation in face recognition or stranger detection;
9. Support HTTP interface docking;
11. Supporting the deployment of public network and local area network;
12. Supporting screen display content configuration;
13. Support Distance Recognition Configuration
Core parameters
CPU
4 nuclei, 1.8 GHz

Device Interface
Memory 2 GB, storage 8 GB


Interface
audio frequency
1 channel audio output(line out)

video
HDMI2.0 Type -A255091;
Serial Communication
Interface
One RS232 interface
Relay interface
1 relay interface
Reset interface
RESET button on extension line
network interface
A RJ45 10M/100M Adaptive Ethernet Port
Face
Supporting detection and tracking of 5 people at the same


function
Detection
time

1:N Face
Recognition
The recognition accuracy is 99.7% under the condition that the false recognition rate is three-tenths of ten thousand.
Stranger Detection
Support
Recognition Distance
Configuration
Support
UI interface configuration
Support
Interface Configuration
Support
Deployment mode
Support the use of public and local area networks


Convention al parameters
Protection Level
IP66,Certain Dust-proof and Waterproof Functions

Power Supply
DC12V(±10%)
working temperature
Negative 20, positive 85
Working humidity
10%~90 %
Power waste
10W MAX
Equipment dimensions
560.25*φ114mm(High * Diameter)
weight
≈5kg
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