ARMATURA AMT-PVM-10 Launch Intestinal Vein User Manual
- June 15, 2024
- ARMATURA
Table of Contents
User Manual
AMT-PVR-10
AMT-PVM-10 Launch Intestinal Vein
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.
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Copyright © 2022 ARMATURA LLC. All rights reserved.
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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
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About the Company
ARMATURA is a leading global developer and supplier of biometric solutions
which incorporate the latest technologies on biometric hardware design,
algorithm research and software development.
ARMATURA holds numerous patents in the field of biometric recognition
technologies. Its products are primarily used in business applications which
require high-secured, high-accurate and fast matching and identification
processes.
ARMATURA biometric hardware and software are built into the product of world
top workforce management (WFM) solution providers, Point-of-Sale (PoS)
terminals vendors, intercoms, electronic safes, metal key lockers, dangerous
machinery, and many other product vendors which heavily rely on accurate,
secured and fast user identification features.
About the Manual
This manual introduces the operations of AMT-FAM-10, a dual-lens near-infrared
light and visible light face module.
All figures displayed in this manual are for illustration purposes only which
may not be exactly consistent with the actual product.
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.
< >| Button or key names for devices. For example, press
For Device
Convention| Description. [ ]| 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.
Product Introduction
1.1 Overview
AMT-PVR-10 is a single-lens near infrared light camera module that supports to
capture the palm print and palm vein grayscale images for recognition process.
The module is configured with near-infrared LED lights, wide dynamic image
sensor, and aspherical
distortion-free camera lens. The module’s built-in high-performance, low-
power- consumption processor is up to 400MHz. Single USB cable is utilized to
provide low-voltage power supply and rich communication interfaces, making it
easy to integrate with 3rd
party host device.
AMT-PVR-10 captures the surface-area palm prints and subcutaneous palm veins
in a single image. The associated PalmLite SDK takes the approach of the
surface-area palm print patterns such as palm lines and ridges, as well as
subcutaneous palm vein patterns, to identify individual user.
The near-infrared (NIR) light has the feature to penetrate the skin and
present subcutaneous vascular patterns in grayscale image when active fresh
blood flows over the vessel system. As a result it provides high-secured anti-
spoofing protection benefit, in addition, the palm veins are not exposed to
public and requires special device to collect, it has less privacy concerns
compared to face recognition approach.
The combination of palm print and palm vein patterns together provide an
unreplicable, robust, and unique biometric features of for individual
identification and verification.
The software development kits AMT PalmLite SDK allows easy and agile
integration of palm recognition functions to 3rd party applications. The palm
module and the SDK together provide an affordable biometric solution to SMB
customers. The solution is widely applied to workforce management, access
control and security, single sign-on, identity management areas and more…
1.2 Features
- Supports Near-Infrared Palm Vein acquisition.
- Provides hygienic, non-invasive and stress-free usage in public with 100% contactless experience.
- Easy and agile integration with compact and light-weight size and USB 2.0 interface.
- Saves the power and extends module lifespan with built-in distance detection sensor.
- Adaptable to various lighting conditions with wide dynamic image sensor.
- High process speed up to 25 frames per second with built-in high-performance processor.
- Supports wide palm recognition range from 15 cm ~ 35 cm or 6 inches ~ 14 inches.
- Supports high-quality palm vein image from wet or dry hand.
- The PalmLite SDK supports common operating systems including Windows, Android and Linux.
- Low power consumption less than 2.0 Watts.
Product Specifications
2.1 Technical Specifications
| Features | Technical Specifications |
|---|---|
| Processor | Low-power-consumption processor, 400MHz |
| Image Sensor | 1/2.7”, HDR CMOS, Near-infrared light |
| Connector | 7-pin 1.25mm USB 2.0 |
| Communication Interface | USB 2.0 (High speed) |
| Power Requirements | USB 5V |
| Power Consumption | 0.5W (Standby) / 1.5W (Operating) |
| Lighting Environment | Enrollment <800 Lux; Matching <2000 Lux |
| Humidity | 0 to 90% RH |
| Dimensions | 41.5 34 mm (RadiusHeight) (±1 mm) |
| Certifications | CE, FCC, RoHS |
2.2 Electrical Features
| Specifications | Test Conditions | Min | Standard | Max |
|---|---|---|---|---|
| Operating Voltage | – | 4.75V | 5.0V | 5.25V |
| Operating Current | T = 25℃/77°F, VCC = 5.0 V | – | 350mA | 400mA |
| Operating Power Consumption | T = 25℃/77°F, VCC = 5.0 V | – | 1.75W | 2.0W |
| Standby Current | T = 25℃/77°F, VCC = 5.0 V | – | 150mA | 170mA |
| Standby Power Consumption | T = 25℃/77°F, VCC = 5.0 V | – | 0.75W | 0.85W |
| Operating Temperature | – | –10℃/14°F | – | 55℃/131°F |
| --- | --- | --- | --- | --- |
| Storage Temperature | – | –20℃/-4°F | – | 80℃/176°F |
2.3 Optical and Image Specifications
| Features | Technical Specifications |
|---|---|
| Sensor Model | HDR CMOS Sensor |
| Sensor Size | 1/2.7 inch |
| Sensor Type | Optical |
| Image Size (pixel) | 480W x 640H |
| Grayscale | 256 levels |
| Dynamic Range | 83 dB |
| Max. Frame Rate | 25 fps |
| Lens Type | IR |
| Optical Wavelength | 840 – 860 nm |
| Field of View (FOV) | Diagonal = 58°, Horizontal = 37°, Vertical = 48° |
| Optical Distortion Rate | ≤1% |
| Lens Composition | Composed of 4-Plastic Lens and an IR-Filter (4P+1IR) |
2.4 Model Specifications
| Features | Technical Specifications |
|---|---|
| SDK | AMT PalmLite SDK v12 |
| Recognition Angle | Yaw≤20°, Pitch≤ 20°, Roll≤90°, Bend ≤ 15° |
| Recognition Method | 1:1 and 1:N |
| Capacity | 6,000 templates |
| Accuracy | TAR=98.2% when FAR=0.05% |
| Recognition Time | <300ms (Quad-core Cortex-A9 up to 1.6GHz) |
| Windows | Windows XP / Windows 7 / Windows10 (32/64bits) |
| Android | Android 4.1 or higher version |
Algorithm Specifications
3.1 Palm Recognition Algorithm
Palm recognition technology captures near-infrared light reflections to form
images of surface-area palm lines and subcutaneous palm veins pattern and
utilizes convergence to identify or verify individual identity. The technology
boosts powerful anti-spoofing
protection, as only active refresh blood flowing over the vessels can present
grayscale images.
AMT PalmLite SDK is a high-performance and high-accuracy near-infrared palm
recognition algorithm developed for large-volume palm recognition and tolerant
to palm postures in various lighting conditions. It makes the algorithm and
SDK suitable to a variety of applicable environments with very friendly user-
experience.
The proper palm postures for enrollment and matching are shown in Figure 3.1:
3.1.1 Palm Recognition Specifications
| Algorithm Version | AMT PalmLite 12.0 |
|---|---|
| Palm Detection Speed | < 50 ms |
| Biometric Template Extraction Speed | < 220 ms |
| Biometric Comparison Speed | < 150 ms |
| Palm Capacity | 6,000 |
| Posture Adaptability | Yaw ≤ 20°, Pitch ≤ 20°, Roll ≤ 90°, Bend ≤ 15° |
| Precision | TAR=98.2% when FAR=0.05% |
3.1.2 Palm Registration Image Quality Requirements
The image saved while palm registration has JPG or BMP format and the minimum
resolution is 160 x 120 pixels. The individual should take care of the
following things while registering their palm:
The image for palm registration is in JPG or BMP format and the minimum
resolution is 160 x 120 pixels. Please follow the following guidelines while
registering the individual’s palm:
- The palm should be separated from the background.
- The palm should be evenly illuminated to ensure good quality of the palm print and palm vein image.
- The whole palm (including the wrist) should be within the camera frame and the aspect ratio of the palm must not be distorted.
- Put the palm posture properly and keep the pitch, roll, yaw, and bend within 5 degrees.
Application Scenarios
The AMT-PVR-10 module is is optimized on its physical structure for the
purpose of the built-in design and integration, facilitating easy and fast
integration into third-party hardware device.
Kept the integration thought into design, the module can be built into a host
device using a single USB cable which provides both the power supply and data
communication, this approach simplifies the integration development work
considerably.
With AMT PalmLite SDK, you only need to write a few lines of code to call the
SDK interfaces to achieve palm recognition in your application. It speeds the
development work and improves the productivity. The integration solution can
be applied to various business applications such as time attendance, access
control, entrance management, payment kiosks, intercom units, turnstiles, PCs,
tablets, and more.
Structural Dimensions
Operation Guide
6.1 Hand and Palm Placement
- Keep your hand clean and place the palm about 15cm-35cm or 6inch-14inch away above the reader.
- Keep the hand parallel to the reader. Ensure that the center of the palm is aligned with the center of the reader.
- Stretch out the hand and keep palm open in natural posture.
6.2 LED Indicator Status
Blue/Green/Red tri-color LED lights are built into the palm reader in a circle
which is to indicate the palm image caputuring and matching operation status.
Follow the LED light status instructions during the registration or matching
process, you can move your palm back and forth to a proper position, the green
LED light indicates the operation is successfully completed.
| Blue light | Detecting. |
|---|---|
| Green light | Registration is successful or matching is successful. |
| Red light | Registration is failed or matching is failed |
6.3 Operation Height and Angle
The installation heights and corresponding angles are recommended in Figure 9. The angle in the figure is the angle between the center axis of the lens and the horizontal ground (which is the same angle between the module lens plane and the vertical direction), and the height is the distance from the module to the ground.
Operation Tips
- The module is installed and operated for indoor environment, please do not use it under direct sunlight.
- The module should not be disassembled without authorization, otherwise it voids its warranty.
6.4 Maintenance and Cleansing Guide
6.4.1 Maintenance
- Please keep the product dry and clean.
- Prevent the product from falling or collision.
- Do not power on or power off the product too frequently.
6.4.2 Cleansing
- Please Keep the product away from dust.
- Use an adhesive tape to clean the collecting area.
- Wipe the sensor with special lens cloth or issue.
- Keep the sensor clean and dry for storage.
Frequetn Asked Questions
1. What shall I do when there is no response from the palm vein module even the module is connected?
Answer: First, open the computer management from your windows system to check if AMT-PVM-10 has been successfully connected. Next, check whether the connection button in the demo (see attached software package) is enabled or not. If these two potential problems are excluded, please contact the technical support team in time to analyze the other reasons such as hardware failure, demo issues and so on.
2. What shall I do if it fails to register the user?
Answer: Firstly, please confirm that AMT-PVM-10 has been already connected to the system, and then open the demo for initialization. Next, verify if the palm position, angle, and the palm placing distance are proper. Read the pop- up error code and check the reason for the error by comparing with the development document. If the issue still exists, please contact the technical support team to resolve the issue.
3. What if the product doesn’t work during identification?
Answer: Firstly, confirm that the scanner is successfully connected to the system, and the demo can be opened normally. If there is no response, pull out and re-plugin the module. If the problem still exists, check the error code or change the module and continue identification. If the problem cannot be resolved, please contact the technical support team to check if it is a hardware problem.
4. What shall I do if the user verification fails after the module is connected to the PC and identifies the user successfully?
Answer: If the user has been registered, please confirm you present the same palm for verification. And ensure the palm is placed in proper posture and distance . During verification, you can adjust the palm posture and distance, so that AMT-PVM-10 can better take high quality palm image.
190 Bluegrass Valley Pkwy,
Alpharetta, GA 30005
E-mail: info@armatura.us
www.armatura.us
Copyright © 2022 ARMATURA LLC. All Rights Reserved.
References
- Armatura | Global Biometric Technology Provider
- ZKTeco | Biometrics and Computer Vision
- Armatura | Global Biometric Technology Provider