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Armatura AMT-PVS-50 High Precision Dual Camera Standalone Palm Module
Armatura AMT-PVS-50 High Precision Dual Camera Standalone Palm Module
Armatura AMT-PVS-50 High Precision Dual Camera Standalone Palm Module
Armatura AMT-PVS-50 High Precision Dual Camera Standalone Palm Module
Armatura AMT-PVS-50 High Precision Dual Camera Standalone Palm Module

Armatura AMT-PVS-50 High Precision Dual Camera Standalone Palm Module

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Standalone Palm Recognition Device with Dual Cameras.

The AMT-PVS-50 is an intelligent computer vision module that uses dual cameras with Visible Light and Near Infrared (NIR) recognition technology to capture palm images for high-precision biometric recognition.

• The AMT-PVS-50 module is designed to adjust to a wide range of lighting conditions, from low light levels of only 0.01 Lux to strong sunlight of up to 100,000 Lux. This adjustment capability ensures stable and accurate recognition performance under different lighting conditions in diverse environments.

• The dual camera module provides a wide field of view (FOV) of up to 145°, improving the user experience in palm recognition operations.
• The module is equipped with multi-color LEDs that help users adjust palm position and receive real-time visual feedback.

• The module is supported by a developer-friendly SDK, providing access to a wide range of built-in algorithms and configurations on the module. This includes palm detection, liveness assessment, and feature extraction functions.

• The module features a lightweight and compact design, along with a USB 2.0 interface, seamlessly integrating with a wide range of third-party application hardware, including but not limited to time attendance, access control, and physical identification applications.

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Description

Specifications:

General Information

Processor 1GHZ Cortex A53 dual-core processor, 1.5 TOPs NPU

Memory 256MB RAM and 256MB Flash

Camera 1.3MP infrared camera; 1.3MP visible light camera

Interface USB 2.0

Communication UVC and HID Protocol

Power Supply DC 5.0V/1.0A

Power Consumption < 2W (standby); < 3W (operation)

LED Light
Green LED: Normal Status
White LED: Authentication
Red LED: Error/Failure
Orange LED: Near Object Detection

Supported OS Android 7, 8, 9, 10; Windows 7, 10, 11; Linux (on request)

Protection Standard IP65

Operating Temperature -10°C ~ 55°C / 14°F~ 131°F

Storage Temperature -40°C to 85°C / -40°F to 185°F

Operating Humidity 15% ~ 95% RH (Non-condensing)

Dimensions 62.0 (L) x 62.0 (W) x 20.0 (H) mm (±1mm)

Weight 97g

Certification CE, FCC, RoHS, WHQL

Sensor

Camera Type
Visible Light Camera
Infrared Light Camera

CMOS 1/5” CMOS, 1.3MP

Optical Wavelength
Visible Light Camera: 440 nm ~ 650 nm
Infrared Light Camera: 850 nm

Image Type
Visible Light Camera: 24-bit RGB True Color
IR Light Camera: 256 Grayscale

Output Format Default MJPEG

Illuminance Range 0.01 Lux to 100,000 Lux

Exposure Mode Auto Exposure on Region of Interest (AE on ROI)

Image Time Adjustment Maximum delay between frames: 10ms

Image Spatial Adjustment ±5 pixels

Image Resolution (Pixel)
Visible Light Camera: Raw: 1024W * 1280H – Output: 720W * 1280H
IR Light Camera: Raw: 1024W * 1280H – Output: 720W * 1280H

Shutter Type Global Shutter

View Angle (FOV) Horizontal: 116°, Vertical: 95°, Diagonal: 145°

Frame Per Second 25fps /30fps

Distortion Rate < 2%

Integrated Algorithm

Biometric Recognition Method Palm

Recognition Distance 5cm-15cm

Authentication Mode 1:1, 1:N

1:N Capacity 30,000

Palm Vitality Detection Time <20ms (visible light mode; infrared light mode)

Feature Extraction Time <25ms

Comparison Time <30ms

Adaptability to Horizontal Rotation ≤ 30°, Vertical Rotation ≤ 45°, Rotation around the axis ≤ 180°, Curve ≤ 20°

Accuracy FRR=0.17% when FAR=0.001%

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