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Android/Linux Face Recognition

F8 Features

· 8-inch touch screen;

· Linux or Android operating system;

· Adopt binocular camera: support live body detection function;

· Protection grade IP66, three-proof product: waterproof, dustproof and shock-proof;

· Support voice/video call;


Function:

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    Linux/Android
  • Quad-core-01.png
    QuadCore
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    8-inch
  • Temperature-01.png
    Temperature
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    NFC
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    Face
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    Wear Mask
  • Tamper Proof-01.png
    Tamperproof
  • Wi-Fi-01.png
    Wi-Fi
  • Waterproof-01.png
    Waterproof
  • Rich Interfaces-01.png
    Rich Ports
Inquiry Now

Robust Aluminum Alloy Body

Adopt solid aluminum alloy material,vandal resistant and tamper-proof design to create excellent heat dissipation effect.
Robust Aluminum Alloy Body Linux Face Recognition machine

Superb AI Vision Processor

The NPU neural network vision processor RV1109 and Linux4.19 OS empower stronger computing power, powerful image processing and display output capability, efficiently assist accurate operation of the face recognition system.
Superb AI Vision Processor Linux4.19 OS Face Recognition machine
Linux or Android Face Recognition machine


IR+VL Face Recognition machine F8 Telpo

Super Face Computing Power

Introducing world-renowned deep learning algorithm and IR image analysis technology, face recognition can be recognized within 0.4s with up to 99.5% accuracy rate.
Face Computing algorithm IR image analysis Face Recognition machine
anti-fake face recognition machine F8 Telpo

Suitable for Indoor and Outdoor Scene

In line with international IEC waterproof and dustproof IP66 standard, enabling strong waterproof ability and stable operation in outdoor.
Suitable for Indoor and Outdoor face recognition machine
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Applications of face recognition machine F8 Telpo
Robust Aluminum Alloy Body Adopt solid aluminum alloy material,vandal resistant and tamper-proof design to create excellent heat dissipation effect.
Android The NPU neural network vision processor RV1109 and Linux4.19 OS empower stronger computing power, powerful image processing and display output capability, efficiently assist accurate operation of the face recognition system.
Linux Android Face recognition machine
IR+VL Face Recognition Equipped with binocular camera to achieve infrared and visual light face recognition, highly matched is suitable for everyone.
Super Face Computing Power Introducing world-renowned deep learning algorithm and IR image analysis technology, face recognition can be recognized within 0.4s with up to 99.5% accuracy rate.
Super Face Computing Power Introducing world-renowned deep learning algorithm and IR image analysis technology, face recognition can be recognized within 0.4s with up to 99.5% accuracy rate.
IP66 rated Outdoor and indoor face recognition device
Temperature screening face recognition machine
QR-code Fingerprint NFC card face recognition machine
QR-code Fingerprint NFC card face recognition machine
QR-code Fingerprint NFC card face recognition machine
Airport face recognition machine

Technical Specifications

Item

Specification

Item

Specification

Chipset
(alternative)

Chipset: RV1109
OS: Linux 4.19
CPU: Dual-Core (Cortex-A7), 1.5GHz
NPU: 1.2Tops
Memory: 1GB DDR, 8GB eMMC
2GB DDR, 16GB eMMC(Optional)

Communications

Ethernet/WiFi
Bluetooth (Optional)

Chipset
(alternative)

Chipset: RK3399
OS: Android 7.1 or above
CPU: Dual-Core 1.8GHz + Quad-Core 1.4GHz
Memory: 2GB DDR, 16GB eMMC

Peripheral Ports

1 DC Port, 1 RJ45, 1 micro USB,  1 Wiegand Input, 1 Wiegand Output, 1 RS485,
1 RS232, 1 Relay, 1 USB TypeA, 1 I/O, 1 Reset

Display

8-inch, 800*1280

Audio

Digital Audio Speaker, Microphone

Front Camera

Dual-lens Camera (RGB+IR), 2MP+2MP

Power Supply

12V/2A

Front Camera

Single-lens Camera (RGB), 2MP(Optional)

Bracket (Optional)

Wall Mount Bracket, Turnstile Mount Bracket

Fill Light

White LED

Dimensions (mm)

249 (L)*127 (W)*23 (H)

Contactless Card Reader (Optional)

ISO14443 Type A/B, ISO18092 compliant

MDM (Optional)

Mobile Device Management

QR Code Scanner (Optional)

Support

Certification

CE, FCC, IP66


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Download

Telpo-F8-Specification.pdf

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