Face recognition machine

7cylindrical person Face Recognition all-in-one machine KT-FR014

Technical parameters

Processor: Dual-Core ARM Cortex-A7, @1.0GHz 

Operating system: Linux operating system

Storage: 8GB EMMC

Camera: Binocular, 2.1 million effective pixels, 1920*1080

Imaging device: 1/2.8" Progressive Scan CMOS

Lens: 6mm

Speaker: standard, voice playback content can be customized

Recognition height: 1.2~2.2 meters, angle adjustable

Recognition distance: 0.3~1.5 meters, variable depending on the lens

Face angle: 30 degrees left and right, 30 degrees up and down

Recognition time: less than 0.5 seconds

Face capacity: 20,000

Storage capacity: 60,000 snapshot records

Communication interface: RJ45 adaptive Ethernet port (can support customized WiFi) 

Control interface: switching output

Wiegand interface: 1 Wiegand interface input, 1 Wiegand interface output

USB interface: 1 USB interface as device 

Communication interface: 1 RS485 communication interface

Camera: Binocular camera, visible light, supports living body detection

Effective pixels: 2.1 million effective pixels, 1920*1080

Minimum illumination: color 0.01Lux @F1.2 (ICR); black and white 0.001Lux @F1.2 (ICR)

Signal-to-noise ratio: ≥50db (AGC OFF)

Screen resolution: 480*800                                                                       

Working temperature: -30℃ - +60℃

Working humidity: 0~90% relative humidity, no condensation

Equipment power: 10W (MAX)

Salt spray level: Rp6 or above

Antistatic: contact ±6KV, air ±8KV

Power supply: DC12V/2A

Screw hole diameter: 47mm

Anti-riot level: IK06

Protection level: IP65

Screen specifications: 7-inch high-definition RGB display

Equipment size: 519 (length) * 118 (width) * 118 (thickness) mm

Features

Support binocular live body detection

Supports face tracking and exposure of people moving in strong backlight environments

Unique face recognition algorithm, accurately recognizes faces, face recognition time is less than 0.5s

Built-in domestic CPU

Using LINUX operating system, the system is stable

Mean running time between failures MTBF＞50000h

Supports up to 20,000+ face comparison libraries and 60,000 recognition records

Rich interface protocols, supporting TCP/IP, UDP, RTP, RTSP, RTCP, HTTP, DNS, DDNS, DHCP, SMTP, UPNP, MQTT protocols under Windows/Linux and other platforms

Working temperature: -30℃-60℃

IP66 waterproof and dustproof

Support light sensitivity

Rich hardware interfaces (I/O, WG26, WG34, RJ45, USB, RS485)

7-inch high-definition RGB display, no smearing or delay in images