Access control attendance machine
JV-TM1204-FNCD08 Facial Recognition Attendance and Access Control Machine
JV-TM1204-FNCD08 Facial Recognition Attendance and Access Control Machine
JV-TM1204-FNCD08 Facial recognition attendance access control machine is a high-performance and highly reliable facial recognition product that uses deep learning facial recognition algorithms to achieve fast recognition speed and higher accuracy. It can be applied to entrances and exits such as offices, communities, and factories to achieve personnel attendance and access control.
DETAIL
1. Adopting a 2-megapixel high-resolution F2.0 aperture security grade industrial lens, resistant to backlighting
2. Adopting an 8-inch IPS screen with a resolution of 800X1280 and a screen brightness of 450cd/m2
3. Dual lens, supports live anti-counterfeiting, solves the problem of photo fraud
4. The device supports multiple access control functions
5. Support stranger detection
6. Support digital wide dynamic and real wide dynamic
7. The device can store user data and supports standalone operation in offline mode
8. The device can be managed locally and supports querying, setting, and managing device parameters after logging in
9. The outer glass is made of tempered glass, which has good transparency, high hardness, and is not easily deformed
10. 1 10/100M network adaptive, RJ45 interface
Specification parameters
1. Operating System: Embedded Linux System
2. Size: 8-inch IPS screen
3. Display screen brightness: 450cd/m2
4. Display screen resolution: 800X1280
5. Lens resolution: 2 million pixels (1920 × 1080)
6. Sensor: 1/2.7-inch low light CMOS sensor
7. Lens: High resolution fixed focus 4mm&aperture F2.2
8. White balance: automatic, low color temperature, high color temperature, manual
9. Wide Dynamic: Digital Wide Dynamic and Real Wide Dynamic
10. Fill light: RGB (natural light) and infrared light
11. Detection angle: Vertical angle of view: 90 degrees, horizontal angle of view: 53 degrees
12. Facial database: Standard equipment includes 10000 facial databases, 10000 Mifare/EM card libraries, and 150000 record storage
13. Accurate recognition: recognition speed ≤ 0.2S/person, recognition accuracy greater than 99.97%
14. Recognition distance: adjustable from 0.3M to 2.0M
15. Parameter settings: visitor management, permission groups, access control periods, black and white lists, recognition parameters, image settings, information display, etc
16. Live detection: supported
17. Network interface: 1 10/100M network automatic detection, RJ45 interface
18. Audio interface: 1-channel audio output interface
19. Serial interface: 1 RS232 serial port RX TX
20. Wigan interface: 1-channel Wigan (D0, D1, GND) supports Wigan 26, 34
21. Power supply: DC12V ± 20%
22. Power consumption: ≤ 20W
23. Working environment: Temperature: -30 ℃~70 ℃ Humidity: 10~90% RH (optional heater for low temperature)
24. Protection level: IP67 protection level, anti-static: contact ± 6KV, air ± 8KV
25. Installation method: Standard equipment includes wall mounted brackets, gate installation (optional), and supports 86 box installation (optional)
26. Dimensions (mm): Length: 256mm, Width: 124mm, Thickness: 21mm (excluding bracket)