AI Face Recognition Attendance Web Mounted School Biometric Facial Recognition Biometric Machine
Product deccription:
Main features
* Support binocular live detection
* Supports movement and face tracking exposure of people in strong backlight environment
* Unique face recognition algorithm, accurate face recognition, face recognition time is less than 0.3s
* Built-in domestic CPU
* Using LINUX operating system, the system is stable
* H.265 encoding format video stream is directly connected to storage devices such as NVR through ONVIF protocol and GB28181 protocol
* Support TF card expansion storage, continuous storage of pictures for 1 year, continuous storage of videos for 1 month or longer
* Mean time between failures MTBF＞50000h
* Supports up to 100,000+ face comparison libraries and 90,000 recognition records
* Supports body temperature measurement at close range and high temperature alarm
* Rich interface protocols, supporting TCP/IP, UDP, RTP, RTSP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPNP, MQTT protocols under multiple platforms such as Windows/Linux
* Working temperature: -20°C-+55°C (temperature measurement environment temperature: +16°C-+40°C)
* Ultra-thin body, exquisite industrial design
* Rich hardware interface (I/O, WG26, WG34, RJ45, USB, RS485)
* 8-inch IPS full viewing angle high-definition display, no image smear, no delay
* Automatic gain, automatic white balance, so that the true color of the image can be restored naturally
* Built-in black light sensor for video surveillance, low-light recognition is more accurate
* 3D noise reduction and fog penetration technology make the monitoring picture under low illumination more clear and delicate
* Support partial shielding of video area
* Automatic white balance, manual white balance
* Support video brightness, contrast, hue, saturation, gamma adjustment
* Support setting the longest automatic exposure time
* Support smart face exposure and face smart enhancement settings
| Camera | Binocular, 2.1 million effective pixels, 1920*1080 |
| Operating system | Linux Operating system |
| Card swiping module | Mifare one (M1), S50, S70, NTAG2xx and other 13.56MHz frequency band cards, support 125KHz frequency band TK, EM and other series cards |
| Finger printing module | Capacitive fingerprint module, 160*160 pixels, 508dpi |
| Speaker | Voice playback content can be customized |
| Screen size | 8 inches IPS screen, resolution: 854*480 |
| Recognition distance | 0.5~1.5 meters, depends on lens |
| Equipment size | 242 (length) * 133 (width) * 22 (thickness) mm |
Why choose us:
We have a professional sales team, management team, technical team and production team. Among them, because we have an excellent production team, we can achieve OEM/ODM, and our professional technical team can provide remote technical guidance and 24-hour technical services. At the same time, our sales team has professional knowledge and can communicate with customers. Real-time communication to help customers solve all problems.
Product Tags:
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