It is one of the hot-selling products of Shenzhen Zento Traffic Equipment Co., Ltd.. It has been proved that techniques can efficiently improve work efficiency and ensure product performance.It has extensive uses in the application field(s) of Smart Security Devices. Shenzhen Zento Traffic Equipment Co., Ltd. relentlessly strive for innovations and changes, hoping to lead the industry development and improve our products and services in our unique way. We are committed to being one of the best enterprises in the market.
|Place of Origin:||Guangdong, China||Brand Name:||Zento|
|Model Number:||ZT-F03||Product Name:||face recognition system|
|size:||7 inch, 170 degree IPS LCD screen||Resolving power:||200W|
|type:||RGB camera||weigh t:||5kg|
|Device Interface:||Memory 2 GB, storage 8 GB||audio frequency:||1 channel audio output(line out)|
|Protection Level:||IP66,Certain Dust-proof and Waterproof Functions||Resolution:||1920 x 1080|
|Special Features:||Time & Attendance||Type:||Card, Face|
7-inch Monocular Flat Face
Recognition Machine ZT-F03
7 inch, 170 degree IPS LCD screen
4 nuclei, 1.8 GHz
Memory 2 GB, storage 8 GB
1 channel audio output（line out）
HDMI2.0 Type -A255091;
Serial Communication Interface
One RS232 interface
1 relay interface
RESET button on extension line
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 0.2 Ms. (1000 people database, average recognition takes many times.) 0.5 ms. (10000 people database, average recognition takes many times.) 7. Support stranger detection, stranger level can be configured;
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 identification distance configuration.
Applicable to office areas, hotels, access gates, office buildings, schools, shopping malls, shops, communities, public services and management projects need to use facial access control places.
We are professional in security management system
Country / Region
Enterprise Legal Person
Annual Output Value