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AMT-FAPVR-21
Thank you for choosing our product. Please read the instructions carefully
before operation. Follow these instructions to ensure that the product is
functioning properly. The images shown in this manual are for illustrative
purposes only.
P a g e
| 1
User Manual
AMT-FAPVR-21
Date: October 2022
Doc Version: 1 .2
English
For further details, please visit our Company's website
www.armatura.us.
Copyright© 2022 ARMATURA LLC. All rights reserved.
User Manual
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Table of Contents
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Summary of Contents for ARMATURA AMT-FAPVR-21
- Page 1 Follow these instructions to ensure that the product is functioning properly. The images shown in this manual are for illustrative purposes only. For further details, please visit our Company’s website www.armatura.us. P a g e Copyright© 2022 ARMATURA LLC. All rights reserved.
- Page 2 ARMATURA supplied product vests in and is the property of ARMATURA. The contents hereof should not be used or shared by the receiver with any third party without express written permission of ARMATURA.
- Page 3 ARMATURA in no event shall be liable to the user or any third party for any incidental, consequential, indirect, special, or exemplary damages, including, without limitation, loss of business, loss of profits,...
- Page 4 About the Company ARMATURA is a leading global developer and supplier of biometric solutions which incorporate the latest advancements in biometric hardware design, algorithm research & software development. ARMATURA holds numerous patents in the field of biometric recognition technologies. Its products are primarily used in business applications which require highly secure, accurate and fast user identification.
- Page 5 Document Conventions Conventions used in this manual are listed below: GUI Conventions For Software Convention Description Bold font Used to identify software interface names e.g. OK, Confirm, Cancel. Multi-level menus are separated by these brackets. For example, File > Create > >...
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Page 6: Table Of Contents
Table of Contents PRODUCT INTRODUCTION ......................7 ..............................7 VERVIEW ....................E RROR OOKMARK NOT DEFINED EATURES PRODUCT SPECIFICATIONS ...................... 8 ........................8 ECHNICAL PECIFICATIONS ..........................9 LECTRICAL EATURES ....................9 PTICAL AND MAGE PECIFICATIONS ......................... 10 ODEL PECIFICATIONS ALGORITHM SPECIFICATIONS ....................11 ...................... -
Page 7: Product Introduction
Product Introduction Overview AMT-FAPVR-21 is a dual-camera multimodal standalone module for face and palm recognition empowered by high-performance processors. The multimodal standalone module includes functions such as image collection, biometric template extraction, matching, transmission, and data management. The module has compact, light-weight size and is highly adaptable to various ambient lighting and supports touchless multi-biometric recognition. -
Page 8: Product Specifications
Support Face/Palm AE (smart brightness enhancement technologies for facial and palm • recognition). Built-in near-infrared light supports smart switch control based on image detection algorithms. • Captures face and palm images at 25 frames per second • Maximum face and palm capacities are 100,000 and 10,000. •... -
Page 9: Electrical Features
Electrical Features Specifications Test Conditions Standard Max Unit Operating Voltage 4.75 5.25 T = 25℃, VCC = Operating Current 5.0 V Operating Power T = 25℃, VCC = Consumption 5.0 V T = 25℃, VCC = Standby Power 5.0 V T = 25℃, VCC = Standby Power Consumption... -
Page 10: Model Specifications
Vertical Viewing Angle Horizontal Viewing Angle Model Specifications Model AMT-FAPVR-21 Features Supported Algorithm Type Facial Recognition Palm Recognition Effective Image Range (Algorithm Recognition 50cm - 160cm 15cm - 40cm Range) -
Page 11: Algorithm Specifications
Algorithm Specifications Facial Recognition Algorithm Based on years of in-depth technological development in the biometrics industry, ARMATURA's facial recognition algorithm supports precise recognition of multiple attributes of all age groups in complex light conditions. It can detect up to 180 facial key points within milliseconds, such as eyes, lip edges, nose tips, and contours. -
Page 12: Fake Face Detection
Maximum Range Detection Speed 25 ms Min. Image Size 128 x 128 pixels Static Recognition Ratio No more than 60% of the whole image Yaw ≤ 30°, Pitch ≤ 30°, Roll ≤ 45° Posture Adaptability 3.1.2 Fake Face Detection The algorithm can distinguish whether the detected face is a real alive face or a mask or cover concealing the real identity. -
Page 13: Mask Detection
3.1.3 Mask Detection The algorithm is capable of detecting if a person has worn a mask or not. It helps identify such person and take required action. Function Detection of masks on faces Frequently seen masks in White, Black, Blue, Pink, and Mask Color Gray Detection Speed... -
Page 14: Facial Recognition
Facial Attribute Recognition Age, Gender, and Facial Expression Calm, Happy, Angry, Sad, Surprised, Afraid, and Facial Expression Types Disgusted Maximum Range Detection Speed 20 ms Min. Image Size 128 x 128 pixels Yaw ≤ 30°, Pitch ≤ 30°, Roll ≤ 45° Posture Adaptability Age recognition (±5 years) >... -
Page 15: Facial Registration Image Quality Requirements
Detection Speed 70 ms Min. Image Size 128 x 128 pixels Features 1:1, 1:N Face Capacity 50,000-100,000 Yaw ≤ 30°, Pitch ≤ 30°, Roll ≤ 45° Posture Adaptability Precision TAR=99.2% when FAR=0.001% 3.1.6 Facial Registration Image Quality Requirements The image saved while face registration has JPG format and the minimum resolution is 128 x 128 pixels. -
Page 16: Palm Recognition Algorithm
Palm Recognition Algorithm Palm recognition technology uses near-infrared light reflections to obtain palm line and subcutaneous vein biometrics and utilizes convergence to identify or verify individual identities. The technology boasts powerful anti-spoofing functionality, as only flowing blood can form vein images. AMT PalmLite 12.0 is an excellent near-infrared palm recognition algorithm developed for large- capacity palm recognition with a high tolerance of palm postures in complex light conditions. -
Page 17: Palm Registration Image Quality Requirements
Precision TAR=98.2% when FAR=0.05% 3.2.2 Palm Registration Image Quality Requirements The image saved while palm registration has JPG or BMP format and the minimum resolution captured from the device is 480 x 640 pixels. The individual should take care of the following things while registering their palm: •... -
Page 18: Application Scenarios
Application Scenarios The AMT-FAPVR-21 dual-lens camera collectors are designed with a complete metal structure shell and corresponding fixed brackets, facilitating quick installation and extension on an existing device, or integration into a device. Based on the integrated design, the dual-lens camera collector can be connected to an application platform device using its own dual-port USB-TYPE-A cable. - Page 19 the biometric template extraction is performed in the collector by default. The high-performance heterogeneous processor of the collectors helps free up the computing resources of your platform. ⚫ Template Comparison and Management Comparison and management of biometric templates can be performed in the collectors or on a platform, according to your requirements.
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Page 20: Structural Dimensions
Figure 4.3 Some functions of a front-end comparison system As the SDKs are provided, you only need to call the function interface of a configuration and write an application to integrate face/palm recognition function in your platform. It shortens the development cycle and improves product competitiveness. -
Page 21: Cable Requirements
Cable Requirements The dual-lens camera collector is equipped with wires by default. For special needs, customers can customize according to the following requirements: The total length of the USB cable is 1.2 meters and has a dual USB Type-A power supply interface design. -
Page 22: Installation Guide
environment to improve the heat dissipation efficiency of the collector and to better exert the performance of the collector. Installation Guide Installation Modes The dual-lens camera collector supports a variety of installation modes, including front-locking, rear- locking, down-locking, and desktop mode. Users can choose and design flexibly according to their needs. -
Page 23: Desktop
Figure 8.2 Down-locking installation 8.1.3 Desktop The desktop installation mode is mainly to meet customer desktop-level extensions and applications. This installation mode needs to be fixed with the corresponding fixing bracket. By adding accessories at the bottom of the dual-lens camera collector, it can be adjusted to the 1/4 screw of the traditional security bracket. -
Page 24: Installation Height And Angle
Installation Height and Angle When you install a dual-lens camera collector, you need to consider the influence of the installation angle and height on the field of view for image collection. If the mixed face/palm recognition algorithm is used, you need to consider the field of view that faces can adapt to, the range requirements of palm recognition, and the convenience and speed of man-machine interaction. -
Page 25: Horizontal Installation Mode
8.2.1 Horizontal Installation Mode In horizontal installation mode, the installation angle (b) is set to 0° , and the installation height (H) is set to 1.5 m. If a person can be recognized at a distance of 0.5 m to 0.8 m, the reader can adapt to individuals with a height range between 1.38 m and 2.0 m, as shown in Figure 8.5. - Page 26 190 Bluegrass Valley Pkwy, Alpharetta, GA 30005, USA E-mail: info@armatura.us www.armatura.us Copyright © 2022 ARMATURA LLC. All Rights Reserved.
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