ZKTeco - AMT-FAPVR-30 - Dual-Lens Multimodal Standalone Reader for Face and Palm Recognition
Product Overview
The Armatura 30 series multimodal biometric modules are standalone touchless face and palm recognition solutions designed for integration across a wide range of applications. They combine AI computing power, dual-camera imaging, built-in biometric algorithms, and compact developer-friendly interfaces for flexible hardware and software deployment.
Key Configuration
Standalone multimodal biometric module series for face and palm recognition; common core board with 2.4 TOPs AI computing power; supports up to 30,000 face templates and 5,000 palm templates.
Key Features
• Touchless face and palm recognition supports a wide range of access and identity applications
• Dual camera technology captures high-resolution infrared and RGB images
• AI-based liveness detection helps prevent spoofing attacks
• Built-in face and palm algorithms support full-cycle biometric recognition
• UVC video stream and HID data communication protocols support integration flexibility
Technical Context
The modules use auto exposure on regions of interest to capture high-quality face and palm images for improved recognition accuracy. Large flash storage supports extensive biometric template capacity, while the common core board provides the AI performance needed for onboard recognition and liveness detection.
Installation Notes
The lightweight and compact design supports integration into hardware and software applications. Available modules include the AMT-FAPVS-30 standalone multimodal module for built-in integration and the AMT-FAPVR-30 standalone multimodal reader for direct connection.
| Technical Specifications | |
| Accuracy | Face: *TAR=99%@FAR=0.01% Palm: *TAR=98.7%@FAR=0.01% |
| Biometric Type | Face, Palm |
| CMOS | Visible Light Camera: 1/2.8” HDR CMOS, 2.0MP Infrared Light Camera: 1/4” CMOS, 1.3MP |
| Camera | 1.3 MP Infrared light camera 2.0 MP visible light camera |
| Capacity On Module | Face: 30,000 Palm: 5,000 |
| Communication | UVC and HID Protocol |
| Dimension | AMT-FAPVR-30: 80.0L x 40.0W x 26.0H (mm) |
| Distortion Rate | ≤ 0.5% |
| Dynamic Range | Visible Light Camera: HDR mode 106dB |
| Exposure Mode | Auto Expose on Region of Interest (AE on ROI) |
| Face Attribute | Age, Gender, Expression classification |
| Frame per Second | 15 |
| Illumination Range | Visible Light Camera: 0.01 Lux to 50,000 Lux Infrared Light Camera: 0.01Lux to 20,000Lux |
| Image Resolution (Pixel) | Visible Light Camera: Raw: 1080W * 1920H; Output: 720W * 1280H Infrared Light Camera: Raw: 1080W * 1280H; Output: 720W * 1280H |
| Image Type | Visible Light Camera: 24-bit RGB true color Infrared Light Camera: 256 Grayscale Levels |
| Interface | USB 2.0 |
| Liveness Detection | Face: Infrared-visible light mode; Infrared light mode Palm: Infrared light mode |
| Memory | 1 GB RAM and 512MB Flash |
| Operating Humidity | 15% ~ 95% RH |
| Operating Temperature | -10°C ~ 55°C / 14°F ~ 131°F |
| Optical Wavelength | Visible Light Camera: 440 nm ~ 650 nm Infrared Light Camera: 940 nm |
| Posture Adaptability | Face: Yaw ≤ 30°, Pitch ≤ 30°, Roll ≤45° Palm: Yaw ≤ 45°, Pitch ≤ 30°, Roll ≤ 90°, Bend ≤ 30° |
| Power Consumption | < 2.5W (standby) < 3.5 W (operation) |
| Power Supply | DC 5.0V/2.0A |
| Processor | 1.2GHZ Quad Core ARM Processor, 2.4 TOPS NPU |
| Recognition Distance | Face: 40cm – 120 cm Palm: 18cm - 40cm |
| Recognition Mode | 1:1, 1:N |
| Recognition Speed | Face: < 100ms Palm: < 140ms |
| Storage Temperature | -40°C ~ 85°C / -40°F ~ 185°F |
| Certifications | CE, FCC, RoHS |
