Face recognition machine

8Inch person Face identify two-dimensional All-in-one code swiping machine KT- FR015

Technical parameters

Processor: Dual-core ARM Cortex-A7 and RISC-V MCU

Operating system: Linux operating system

Storage: 1GB RAM + 8GB eMMC 

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

Imaging device: 1/2.8" Progressive Scan CMOS

Lens: 4.5mm focal length

Card swiping module: mifare one (M1), S50, S70, NTAG2xx and other 13.56MHz frequency band cards, TK, EM and other series 125KHz frequency band cards (supported by IC/ID)

QR code module: 640 (horizontal)

Speaker: Voice playback content can be customized

Recognition height: 1.2~2.3 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 0.3 seconds

Identification record capacity: 69000

Face capacity: 24000

Power input: DC12V/2A

Network interface: 1 RJ45 10M/100M adaptive Ethernet port

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

Switching value: 1 switching value output

Communication interface: 1 RS485 communication interface

USB interface: 1 USB interface

Camera: binocular camera, customized lens, visible light and near-infrared, supports living body detection

Effective pixels: 2.1 million effective pixels, 1920*1080

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

Wide dynamic range: 120db, ISP algorithm partial exposure of face

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

Working temperature: -20℃-60℃

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

Equipment power: 20W(MAX)

Salt spray level: Rp6 level

ESD: contact ±6KV, air ±8KV

Power supply: DC12V/2A

Protection level: IP66

Screen specifications: 8-inch high-definition IPS screen, resolution 1280*800

Equipment size: 295.76 (length) * 140.2 (width) * 24 (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 0.3s

Built-in domestic CPU

Using LINUX operating system, the system is stable

Mean running time between failures MTBF＞50000h

Supports up to 24,000 face comparison libraries and 69,000 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: -20℃-60℃

Ultra-thin body, exquisite industrial design

Rich hardware interfaces (I/O, USB2.0, WG26, WG34, RJ45, RS485)

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

Automatic gain and automatic white balance allow the true color of the image to be restored naturally

3D noise reduction and fog penetration technology make monitoring images under low illumination clearer and more detailed

Support partial blocking of video area

Support ROI encoding

Automatic white balance, manual white balance available

Support 2D noise reduction and 3D noise reduction

Supports video brightness, contrast, hue, saturation, and gamma adjustment