The core competitiveness of a company is its capabilities in research and development.Shenzhen Zento Traffic Equipment Co., Ltd., as a technology-driven enterprise, has been striving forward to enhance our R&D capabilities and successfully developed Zento Security Door Access Control System Build in Face Recognize Camera High Accuracy Dynamic Face Recognize Device. In order to guarantee Zento Security Door Access Control System Build in Face Recognize Camera High Accuracy Dynamic Face Recognize Device performance, the adopted technologies are technically useful and feasible. Depending on its properties, the product is widely applied in the field(s) of . In the process of continuous entrepreneurial innovation, Shenzhen Zento Traffic Equipment Co., Ltd. always adhere to the business philosophy of 'quality comes first'. We will grasp the opportunities of the times and always keep up with the industry trends. We believe that one day we will become one of the leading enterprises in the global market.
|Place of Origin:||Guangdong, China||Brand Name:||ZENTO|
|Model Number:||YHT-5201||Product Name:||face recognition biometric machine|
|size:||5 inch, 170 degree IPS LCD screen||type:||RGB camera|
|CPU:||4 nuclei, 1.8 GHz D||Protection Level:||IP66,Certain Dust-proof and Waterproof Functions|
|weight:||5kg||working temperature:||Negative 20, positive 85|
|Device Interface:||Memory 2 GB, storage 8 GB||focal length:||6mm|
|Special Features:||Waterproof / Time attendance|
Cylindrical dynamic face automatic recognition school community face recognition intelligent gate access control system
Face recognition is a kind of biological recognition technology based on human face feature information. A series of related technologies, which collect the images or video streams containing faces with cameras or cameras, automatically detect and track faces in images, and then recognize the detected faces, which are also called human image recognition and face recognition.
5 inch, 170 degree IPS LCD screen
Supporting detection and tracking of 5 people at the same
560.25*φ114mm(High * Diameter)
Memory 2 GB, storage 8 GB
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 99.7%.
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 times.)
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;
10. Supporting the deployment of public network and local area network;
11. Supporting screen display content configuration;
12. Support Distance Recognition Configuration
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