2.0MP Starlight IP Face Recognition Terminal Binocular Face Recognition Camera
The resolution up to 2M (1920X1080@30fps)1.Three-dimensional modeling, industrial grade design, pitch angle and left & right rotation adjustable2.One single machine completes face capture and comparison function3.Support multi-task cascade convolutional neural network in vivo detection switch, d......
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Product Description
The resolution up to 2M (1920X1080@30fps)
1.Three-dimensional modeling, industrial grade design, pitch angle and left & right rotation adjustable
2.One single machine completes face capture and comparison function
3.Support multi-task cascade convolutional neural network in vivo detection switch, detection sensitivity, effectively prevent photo, video and other deception
4.Using deep learning algorithm, the face database can reach 20000
5.Import face template is flexible, support single sheet, batch image file import and batch export
6.Provide real-time monitoring and face comparison screen after login
7.Support whitelisted personnel, blacklisted personnel, appointment personnel, etc.
8.can be run stand-alone in the network disconnect mode
9.Provide 485, I / O input and output, Wiegand and other peripheral interfaces
10.Support ID card for unified entry
11.Provide automatic sleep, fast wake up
12.Support voice broadcast
13.Support text automatically to voice
14.Support for access records excel export
15.Support day and night, smooth, backlight, ISP automatic adjustment
16.Support nvr access
17.Support FTP/HTTP upload
18.Supports 100,000 records for access records without TF card
19.Support TF video
Network module | Built-in 4G full Netcom |
Netwok Functions | |
Protocolos | IPv4,TCP,NTP,FTP,HTTP , RTSP |
Interface Protocol | ONVIF,RTSP |
Safety Mode | Authorized username and password |
Event linkage | Capture TF card storage, alarm output linkage, Wiegand output linkage, voice broadcast |
System Upgrade | Support client upgrade |
Face Recognition | |
Detecting Mode Supports live detection, automatically filters out printed paper, faces on the phone screen | |
Identify face size | The distance between the pupils is ≥ 60 pixels; the face pixels are ≥ 150 pixels |
Face Database | Support built-in ≤10000 face number; support black and white, visitor list control |
Posture | tilted within 25 degrees, and can be captured within 60 degrees of the left and right; within 20° of the pitch, it can be compared within 30° of the left and right; |
Block | Ordinary glasses, short hair on forehead no effect on recognition |
Facial Expression | Under normal circumstances, slight expression does not affect recognition |
Face capture rate / comparison accuracyn | The capture rate is ≥98% (the above conditions are met); the hit ratio is ≥95% |
responding speed | ≤1s |
Face Recognition | support 1:1 / 1:N |
Local Storage | Support storage of 100,000 identification records |
Identification area |
Full screen recognition |
Upload method | TCP,FTP,HTTP,SDK upload |
Interface | |
Network Interface | RJ45 10M/100M network adaptive |
Alar Output | 1 output |
RS485 Interface | Support 1 |
TF Storage | Max 128G local storage |
Wiegand interface | Support Wiegand 26, 34 agreement |
Reset Button | Support |
Normal Features | |
Working Temperature | -30°C ~ 60°C |
Working Humidity | 0-90% |
Waterproof | IP67 the main part(speaker IP66) |
Power | DC12V |
Power Consumption (max) | ≤7W |
Size(mm) | 165mm(H)*85mm(W) |
Weight(g) | TBD |
