Face recognition machine

7inch people Face recognition all-in-one machine KT- FR005

Technical parameters

Processor: dual-core processor + 1G memory + 16G EMMC

Operating system: Linux operating system

Storage: Support TF card storage

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: 0.5~1.5 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

Switching output: 1 switching output, other GPIO ports can be customized

Network interface: 1 RJ45 10M/100M adaptive Ethernet port, customizable Gigabit network port

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

USB interface: 1 USB interface as device

Communication interface: 1 RS485 interface

Camera: Binocular camera, visible light and near infrared, 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)

Wide dynamic range: 100db, ISP algorithm partial exposure of face

Video encoding: H.265 Main Profile encoding/H.264 BP/MP/HP encoding/MJPEG encoding

Web page configuration: supported

Device remote upgrade: supported

Deployment method: supports public network and LAN use

Working temperature: -30℃ - +60℃

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

Salt spray level: Rp6 or above

Antistatic: contact ±6KV, air ±8KV

Power supply: DC12V/2A

Anti-riot level: IK06

Protection level: IP66

Device power: 14.4W(MAX)

Equipment size: 128 (width) * 28 (thickness) * 240 (height) 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 20,000 face comparison libraries and 60,000 recognition records

Rich interface protocols, supporting TCP/IP, UDP, HTTP, DNS, DHCP, MQTT protocols under Windows/Linux and other platforms · Working temperature: -30℃-60℃

IP66 waterproof and dustproof

 Built-in photosensitive sensor, automatically adjusts fill light intensity

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

7-inch IPS full-viewing HD display, no smearing or delay in images