ARMATURA AMT-FAPVS-21 User manual

AMT-FAPVS-21 User Manual
P a g e | 1 Copyright© 2022 ARMATURA LLC. All rights reserved.
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.
For further details, please visit our Company’s website
www.armatura.us.
User Manual
AMT-FAPVS-21
Date: October 2022
Doc Version: 1.2
English

AMT-FAPVS-21 User Manual
P a g e | 2 Copyright© 2022 ARMATURA LLC. All rights reserved.
Copyright © 2022 ARMATURA LLC. All rights reserved.
Without the prior written consent of ARMATURA LLC no portion of this manual can be copied or
forwarded in any way or form. All parts of this manual belong to ARMATURA and its subsidiaries
(hereinafter the "Company" or "ARMATURA").
Trademark
is a registered trademark of ARMATURA LLC. Other trademarks involved in this
manual are owned by their respective owners.
Disclaimer
This manual contains information on the operation and maintenance of the ARMATURA product. The
copyright in all the documents, drawings, etc. in relation to the 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.
The contents of this manual must be read as a whole before starting the operation and maintenance
of the supplied product. If any of the content(s) of the manual seems unclear or incomplete, please
contact ARMATURA before starting the operation and maintenance of the said product.
It is an essential pre-requisite for the satisfactory operation and maintenance that the operating and
maintenance personnel are fully familiar with the design and that the said personnel have received
thorough training in operating and maintaining the machine/unit/product. It is further essential for the
safe operation of the machine/unit/product that personnel have read, understood, and followed the
safety instructions contained in the manual.
In case of any conflict between terms and conditions of this manual and the contract specifications,
drawings, instruction sheets or any other contract-related documents, the contract
conditions/documents shall prevail. The contract specific conditions/documents shall apply in priority.
ARMATURA offers no warranty, guarantee, or representation regarding the completeness of any
information contained in this manual or any of the amendments made thereto. ARMATURA does not
extend the warranty of any kind, including, without limitation, any warranty of design, merchantability,
or fitness for a particular purpose.

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ARMATURA does not assume responsibility for any errors or omissions in the information or
documents which are referenced by or linked to this manual. The entire risk as to the results and
performance obtained from using the information is assumed by the user.
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,
business interruption, loss of business information or any pecuniary loss, arising out of, in connection
with, or relating to the use of the information contained in or referenced by this manual, even if
ARMATURA has been advised of the possibility of such damages.
This manual and the information contained therein may include technical, other inaccuracies, or
typographical errors. ARMATURA periodically changes the information herein which will be
incorporated into new additions/amendments to the manual. ARMATURA reserves the right to add,
delete, amend, or modify the information contained in the manual from time to time in the form of
circulars, letters, notes, etc. for better operation and safety of the machine/unit/product. The said
additions or amendments are meant for improvement /better operations of the machine/unit/product
and such amendments shall not give any right to claim any compensation or damages under any
circumstances.
ARMATURA shall in no way be responsible (i) in case the machine/unit/product malfunctions due to
any non-compliance of the instructions contained in this manual (ii) in case of operation of the
machine/unit/product beyond the rate limits (iii) in case of operation of the machine and product in
conditions different from the prescribed conditions of the manual. The product will be updated from
time to time without prior notice. The latest operation procedures and relevant documents are
available on http://www.armatura.us.
If there is any issue related to the product, please contact us.
ARMATURA Headquarters
Address 190 Bluegrass Valley Pkwy,
Alpharetta, GA 30005.
For business-related queries, please write to us at [e-mail].
To know more about our global branches, visit www.armatura.us.

AMT-FAPVS-21 User Manual
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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.
ARMATURA biometric hardware and software are incorporated into the product designs of some of
the world’s leading suppliers of workforce management (WFM) terminals, Point-of-Sale (PoS)
terminals, intercoms, electronic safes, metal key lockers, dangerous machinery, and many other
products which heavily rely on correctly verifying & authenticating user’s identity.
About the Manual
This manual introduces the operation of AMT-FAPVS-21.
All figures displayed are for illustration purposes only. Figures in this manual may not be exactly
consistent with the actual products.

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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 >
Folder.
For Device
Convention
Description
< >
Button or key names for devices. For example, press <OK>.
[ ]
Window names, menu items, data table, and field names are inside square
brackets. For example, pop up the [New User] window.
/
Multi-level menus are separated by forwarding slashes. For example,
[File/Create/Folder].
Symbols
Convention
Description
This represents a note that needs to pay more attention to.
The general information which helps in performing the operations faster.
The information which is significant.
Care taken to avoid danger or mistakes.
The statement or event that warns of something or that serves as a
cautionary example.

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Table of Contents
1PRODUCT INTRODUCTION..........................................................................................................7
1.1 OVERVIEW .......................................................................................................................................................7
1.2 FEATURES.........................................................................................................................................................8
2PRODUCT SPECIFICATIONS .........................................................................................................8
2.1 TECHNICAL SPECIFICATIONS............................................................................................................................8
2.2 ELECTRICAL FEATURES.....................................................................................................................................9
2.3 OPTICAL AND IMAGE SPECIFICATIONS ............................................................................................................9
2.4 MODEL SPECIFICATIONS................................................................................................................................ 10
3ALGORITHM SPECIFICATIONS...................................................................................................11
3.1 FACIAL RECOGNITION ALGORITHM................................................................................................................ 11
3.1.1 Face Detection.......................................................................................................................................11
3.1.2 Fake Face Detection ............................................................................................................................12
3.1.3 Mask Detection .....................................................................................................................................13
3.1.4 Facial Attribute Recognition.............................................................................................................13
3.1.5 Facial Recognition................................................................................................................................14
3.1.6 Facial Registration Image Quality Requirements .....................................................................15
3.2 PALM RECOGNITION ALGORITHM................................................................................................................. 16
3.2.1 Palm Recognition Specifications.....................................................................................................17
3.2.2 Palm Registration Image Quality Requirements.......................................................................17
4APPLICATION SCENARIOS .........................................................................................................18
5STRUCTURAL DIMENSIONS.......................................................................................................21
6PORT DEFINITION.......................................................................................................................22
6.1 PORT POSITION AND DEFINITION .................................................................................................................22
6.2 PORT SOCKET DIMENSIONS ..........................................................................................................................22
7CABLE REQUIREMENTS ..............................................................................................................23
8DESIGN GUIDE.............................................................................................................................23
8.1 OPTICAL DESIGN ...........................................................................................................................................23
8.2 HEAT DISSIPATION DESIGN ...........................................................................................................................24
9INSTALLATION GUIDE................................................................................................................25
9.1 INSTALLATION MODES ..................................................................................................................................25
9.2 INSTALLATION HEIGHT AND ANGLE ..............................................................................................................26
9.2.1 Horizontal Installation Mode ...........................................................................................................27
9.2.2 Slant Installation Mode ......................................................................................................................27

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1Product Introduction
1.1 Overview
AMT-FAPVS-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.
The dual-camera module is equipped with proprietary ARMATURA facial and palm recognition
algorithms and supports both facial and palm recognition in different application scenarios. The
facial recognition algorithm supports face detection, liveness detection, face mask detection, facial
recognition, age recognition, gender recognition, and facial expression recognition. The palm
recognition algorithm supports palm detection, live palm detection, and palm recognition.
The dual-camera module integrates near-infrared light and support dual-channel image collection
with visible and near-infrared light. Both lenses use low light and wide dynamic range image sensors.
They are excellent in adapting to ambient light with the help of powerful image processing
algorithms. A visible-light lens can capture high quality face images in low illumination (0.01 lux)
and bright light (≤50,000 lux) as well. A near-infrared lens can capture high-resolution, high-
contrast, and distortion-free palm lines and subcutaneous vein images, considerably improving the
recognition accuracy.
The dual-camera module has built-in face and palm algorithms, flexible architecture, and are
suitable for various scenarios. The module provides three application modes for deployment in
different scenarios. They are:
1. The USB video class (UVC) functions as a collection module to stream video.
2. The module does the video streaming and face/palm biometric extraction, while the host does
the biometric comparison.
3. After completion of video streaming, extraction, and biometric comparison in the module. Select
a deployment mode based on application requirements and platform features to make the best
use of dual-camera collection.
The software development interfaces allow quick integration of face and palm recognition functions
to an application platform. The functions apply to areas such as attendance checking, entrance
control, and channel access.

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1.2 Features
•Dual low light and wide dynamic range image sensors, maximum 105 dB dynamic range.
•Supports 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.
•Wide field-of-view allows its cameras to recognize individuals at wide varying heights.
•Include SDKs for major platforms (Windows, Android, and Linux).
•Support UVC (USB video device) streaming video protocol and Human Interface Device (HID)
data protocol over USB 2.0.
•Compact, light-weight size with USB 2.0 interface makes for easy integration with a wide range
of host hardware devices
•Provide a touchless, hygienic, and non-invasive biometric identification solution.
•Flexible and open software architecture deployment, adaptable to various application scenarios.
•Integrated communication and power supply USB interface.
2Product Specifications
2.1 Technical Specifications
Features
Technical Specifications
Processor
Quad-core Cortex[email protected] GHz, 1.2 TOPS INT8
Image Sensor
Dual 1/2.8" HDR CMOS, 2MP resolution
(supports visible and near-infrared light)
Communication Interface
USB 2.0
Communications Protocol
Composite UVC device + HID protocol
Camera Type
M8, 2MP

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Required Power Supply
DC 5V/1.1A
Module Size
62 mm x 38 mm x 25.3 mm (Length x Width x
Height)
2.2 Electrical Features
Specifications
Test Conditions
Min
Standard
Max
Unit
Operating Voltage
-
4.75
5.0
5.25
V
Operating Current
T = 25℃, VCC = 5.0
V
-
-
1.1
A
Operating Power
Consumption
T = 25℃, VCC = 5.0
V
-
-
5.5
W
Standby Power
T = 25℃, VCC = 5.0
V
-
-
0.6
A
Standby Power
Consumption
T = 25℃, VCC = 5.0
V
-
-
3
W
Operating Temperature
-
–10
-
45
℃
Storage Temperature
-
–40
-
85
℃
2.3 Optical and Image Specifications
Type
Visible-light Lens
Near-infrared Lens
Resolution @Frame
rate
720 x 1280@25fps
480 x 640@25fps
720 x 1280@25fps
480 x 640@25fps
Default Output
Format
MJPEG
NV12
Signal-to-Noise
Ratio
50 dB
50 dB

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Dynamic Range
105 dB
105 dB
Min Illumination
0.01 lux
0.01 lux
Max Illumination
50,000 lux
20,000 lux
Image Distortion
Rate
≤ 0.5%
≤ 0.5%
Aperture
F2.0
F2.0
Vertical Viewing
Angle
Horizontal Viewing
Angle
2.4 Model Specifications
Model
Features
AMT-FAPVS-21
Supported Algorithm Type
Facial Recognition
Palm Recognition
Effective Image Range
(Algorithm Recognition Range)
50cm - 160cm
(1.5 feet –5 feet)
15cm - 40cm
(6 inch –15 inch)