7inch people Face recognition card swiping all-in-one machine KT- FR007
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
Card swiping module: 13.56MHz, supports Mifare S50, S70 cards, ultralinght cards, NTAG cards, DESFire D21, D41, D81, non-contact CPU cards
WIFI module: IEEE 802.11b/g/n standard, supports 2.4GHz frequency band, speed range 1Mbps-150Mbps
Bluetooth module: 8DPSK, π/4DQPSK, GFSK, speed range 1Mbps-2, 3Mbps
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
Storage capacity: 60,000 snapshot records
Face capacity: 20,000
Card types that can be swiped: 13.56MHz, ID card serial number, Mifare, NFC (optional built-in ID card reader)
Switching output: 1 switching output, other GPIO ports can be customized
USB interface: 1 USB interface as device
Network interface: 1 RJ45 10M/100M adaptive Ethernet port, customizable Gigabit network port
Wiegand interface: 1 Wiegand interface output, 1 Wiegand interface input
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)
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
Anti-riot level: IK06
Protection level: IP66
Screen specifications: 7-inch high-definition IPS screen
Equipment size: 252 (length) * 136 (width) * 26 (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
Host built-in IC card swiping module
Rich hardware interfaces (I/O, WG26, WG34, RJ45, USB, RS485)
7-inch IPS full-viewing HD display, no smearing or delay in images
WhatsApp contact
Scan the QR code and add WeChat
Email contact
Telephone contact
More contact details