AMT-PVS-50
High Precision Dual Camera Standalone Palm Module
- AMT-PVS-50 is an intelligent computer vision module which utilizes visible light and near-infrared light (NIR) dual-cameras to capture palm images for high-accuracy biometric recognition.
- The AMT-PVS-50 module is engineered to adjust to a wide range of lighting conditions, spanning from low light levels as dim as 0.01 Lux to intense sunlight of up to 100,000 Lux. Its ability to adjust various lighting conditions ensures consistent and accurate recognition performance under varying lighting conditions in diverse environments.
- The dual-camera module provides a wide field-of-view (FOV) up to 145°, enhancing user experience for palm recognition operations.
- The module comes with multi-color LED lights that help users adjust palm positions and receive real-time visual feedback.
- The module is backed by a developer-friendly SDK that grants access to the extensive interfaces of the built-in algorithms and configurations on the module. This includes palm detection, liveness assessment and feature extraction functionalities.
- The module features a lightweight and compact design, along with a USB 2.0 interface, making it perfect for seamless integration with a wide range of third-party application hardware including but not limited to time attendance, access control, and physical identification applications.
- Innovative AI-based Technology for Palm Print and Palm Vein Recognition
- Palm Recognition with Visible Light and Near-Infrared Dual-Cameras
- Versatile Lighting Adaptation and Wide Field-of-View
- USB 2.0 Interface for Versatile Third-Party Hardware
General Information |
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| Processor | 1GHZ Dual Core Cortex A53 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) | |
| Visual Indicator |
Steady Green LED: Normal Status
Steady White LED: Authentication in Progress
Steady Red LED: Error/ Fault
Steady Orange LED: Object nearby detected
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| Supported OS | Android 7, 8, 9, 10; Windows 7, 10, 11; Linux (on request) | |
| Protection Rating | 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 | |
| Certifications(s) | CE, FCC, RoHS, WHQL | |
Sensor |
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| Camera Type | Visible Light Camera | Infrared Light Camera |
| CMOS | 1/5” CMOS, 1.3MP | |
| Optical Wavelength | 440 nm ~ 650 nm | 850 nm |
| Image Type | 24-bit RGB true color | 256 Grayscale Levels |
| Default Output Format | MJPEG | |
| Illumination Range | 0.01 Lux to 100,000 Lux | |
| Exposure Mode | Auto Expose on Region of Interest (AE on ROI) | |
| Image Time Alignment | Maximum delay between frames: 10ms | |
| Image Spatial Alignment | ±5 pixel | |
| Image Resolution (Pixel) |
Raw: 1024W * 1280H
Output: 720W * 1280H
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Raw: 1024W * 1280H
Output: 720W * 1280H
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| Shutter Type |
Global shutter
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| Field of View (FOV) |
Horizontal: 116°, Vertical 95°, Diagonal: 145°
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| Frame per second |
25fps /30fps
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| Distortion Rate |
＜2%
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Built-In Algorithms |
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| Biometric Recognition Method | Palm | |
| Recognition Distance | 5cm-15cm | |
| Authentication Mode[1] | 1:1, 1:N | |
| 1:N Capacity[2]: | 30,000 | |
| Palm Liveness Detection Time | ||
| Feature Template Extraction Time | <25ms | |
| Comparison Time | <30ms | |
| Posture Adaptability | Yaw≤ 30°, Pitch≤ 45°, Roll≤180°, Bend≤ 20° | |
| Accuracy | FRR=0.17% when FAR=0.001% | |
Note:
[1]: the authentication modes are supported by Palm Match SDK running on hosting device.
[2]: 1:N Capacity is tested by Palm Match SDK on hosting device.
* FRR: False Rejection Rate
* FAR: False Accept Rate
* The performance test is based on the Armatura proprietary palm datasets.
