Supported Codes
ADR, eADR, HIN, KEMLER, and IMO (IMDG) codes recognized.
Carmen® ADR
Software Library for Dangerous Goods Code Recognition
Highlighted Features
Tried and Tested
Used in thousands of systems worldwide.
Scalability
From small through medium, to large and complex systems.
Image-based Code Recognition
SDK supports image processing.
Major OP Systems Supported
Runs on Windows and Linux.
Regular Engine Updates
Four updates released per year.
Sample Codes
C
/** \file *********************************************************************
*
* cmanpr01 – CMANPR sample program
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* Show an ANPR process
*
* Purpose:
* At the beginning, the application is checking if everything is all right with the gxsd.dat syntax, if not, the execution will stop and will notify the user about the problem.
* Shows how to do an ANPR on an image and print out the result in text
*/
#include “gxsdldr.c”
#include “gximage.h”
#include “cmanpr.h”
#include “gxproperty.h”
//——————————————————————————
// If an error occurred it displays the error and terminates the program
void term_if_err(int st) {
int err_code;
wchar_t err_str[256];
if(st) return; // No error occurred
// Displays error code and description
err_str[(sizeof(err_str)/sizeof(wchar_t))-1] = 0;
gx_geterror(&err_code, err_str, (sizeof(err_str)/sizeof(wchar_t))-1);
fprintf(stderr, “GX error (%x) occurred: %ls\n”, err_code, err_str);
// Terminates the program
exit(1);
}
//——————————————————————————
int main(void) {
struct gxHANDLE anprhandle, imagehandle;
struct gxIMAGE *image;
struct cmNP *anprresult;
struct gxHANDLE prophandle;
char propstat[512] = “”;
wchar_t engname[256]=L””;
int st;
int b_islic;
/** Open the container reader */
st = gx_openmodulea(&prophandle, “gxproperty”, “default”);
term_if_err(st);
if (!gx_ispropertiesvalid(prophandle, propstat, 512))
{
printf(“The gxsd.dat file is invalid.\n%s\n”, propstat);
exit(1);
}
printf(“The syntax of the gxsd.dat file is fine!\n\n”);
// Opens the ANPR module with default properties
st = gx_openmodule(&anprhandle, L”cmanpr”, L”default”);
term_if_err(st);
// Opens the image module and allocates the image structure
st = gx_openmodule(&imagehandle, L”gximage”, L”default”);
term_if_err(st);
st = gx_allocimage(imagehandle, &image);
term_if_err(st);
// Gets the name of the default engine
st = gx_getmoduleproperty(anprhandle,L”anprname”,engname,256);
term_if_err(st);
printf(“Engine: ‘%ls’\n\n”, engname);
// Checks the licenses for the default engine
b_islic = 0;
st = cm_findlicenses4engine(anprhandle,0,0,&b_islic,0,0);
term_if_err(st);
if (!b_islic)
{
printf(“Cannot find licenses for the current engine!!!\n”);
exit(1);
}
// Loads the sample image
st = gx_loadimage(imagehandle, image, L”../../../data/plate.jpg”, GX_UNDEF);
term_if_err(st);
// Finds the first license plate
anprresult = 0;
st = cm_findfirst(anprhandle, image, &anprresult);
term_if_err(st);
if(anprresult) {
char cc[256]=””;
// Get short country code
st = cm_getcountrycode(anprhandle,anprresult->type,(int)CCT_COUNTRY_SHORT,cc,sizeof(cc));
term_if_err(st);
//Displays the result, Country code and type
printf(“Plate text: ‘%s’; Country code: ‘%s’ (%i)\n”, anprresult->text, cc[0]?cc:”No plate type”, anprresult->type);
// Frees up the result
st = gx_globalfree(anprresult);
term_if_err(st);
} else {
// No plate
printf(“No license plate found\n”);
}
// Frees up the resources
st = gx_unrefimage(imagehandle, image);
term_if_err(st);
st = gx_unrefhandle(&imagehandle);
term_if_err(st);
st = gx_unrefhandle(&anprhandle);
term_if_err(st);
return 0;
}
//——————————————————————————
C++
/** \file *********************************************************************
*
* cmanpr01 – CMANPR sample program
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* Show an ANPR process
*
* Purpose:
* At the beginning, the application is checking if everything is all right with the gxsd.dat syntax, if not, the execution will stop and will notify the user about the problem.
* Shows how to do an ANPR on an image and print out the result in text
*/
#include “gxsdldr.cpp”
#include “gximage.h”
#include “cmanpr.h”
#include “gxproperty.h”
//——————————————————————————
using namespace std;
using namespace gx;
using namespace cm;
//——————————————————————————
int main(void) {
try {
gxProperty gxProperty;
gxProperty.IsPropertiesValid();
cout << “The syntax of the gxsd.dat file is fine!\n” << endl;
// Creates the ANPR object
cmAnpr anpr(“default”);
// Creates the image object
gxImage image(“default”);
// Gets the name of the default engine
wcout << L”Engine: ‘” << anpr.GetProperty(L”anprname”) << L”‘\n\n”;
// Checks the licenses for the default engine
if (!anpr.CheckLicenses4Engine(L””,0))
{
wcout << L”Cannot find licenses for the current engine!!!\n”;
return 1;
}
// Loads the sample image
image.Load(“../../../data/plate.jpg”);
// Finds the first license plate
if(anpr.FindFirst(image)) {
// Get short country code
gxOutStr cc = anpr.GetCountryCode(anpr.GetType(),(int)CCT_COUNTRY_SHORT);
//Displays the result, Country code and type
wcout << L”Plate text: ‘” << anpr.GetText() << L”‘; Country code: ‘” << (cc.length()>0?cc: L”No plate type”) << L”‘ (” << anpr.GetType() << L”)\n”;
} else {
wcout << L”No license plate found\n”;
}
} catch(gxError &e) {
// Displays error code and description
wcerr << L”GX error (” << e.GetErrorCode() << “) occurred: ” << e.GetErrorString() << L”\n”;
// Terminates the program
return 1;
}
return 0;
}
//——————————————————————————
C#
/** \file *********************************************************************
*
* cmanpr01 – CMANPR sample program
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* Show an ANPR process
*
* Purpose:
* At the beginning, the application is checking if everything is all right with the gxsd.dat syntax, if not, the execution will stop and will notify the user about the problem.
* Shows how to do an ANPR on an image and print out the result in text
*/
using System;
using gx;
using cm;
namespace cmanpr01
{
class MainClass
{
public static void Main(string[] args)
{
try {
gxProperty gxProperty = new gxProperty();
gxProperty.IsPropertiesValid();
Console.WriteLine(“The syntax of the gxsd.dat file is fine!\n”);
// Creates the ANPR object
cmAnpr anpr = new cmAnpr(“eur”);
// Creates the image object
gxImage image = new gxImage(“default”);
// Gets the name of the default engine
Console.WriteLine(“Engine: ‘{0}'”, anpr.GetProperty(“anprname”));
Console.WriteLine();
// Checks the licenses for the default engine
if (!anpr.CheckLicenses4Engine(“”, 0))
{
Console.WriteLine(“Cannot find licenses for the current engine!!!”);
return;
}
//Console.ReadKey();
// Loads the sample image
image.Load(“../../../../../../data/plate.jpg”);
// Finds the first license plate
if (anpr.FindFirst(image)) {
// Get short country code
String cc = anpr.GetCountryCode(anpr.GetType(), (int)CC_TYPE.CCT_COUNTRY_SHORT);
//Displays the result, Country code and type
Console.WriteLine(“Plate text: ‘{0}’; Country code: ‘{1}’ ({2})”, anpr.GetText(), cc.Length > 0 ? cc : “No plate type”, anpr.GetType());
} else {
Console.WriteLine(“No license plate found”);
}
Console.ReadKey();
} catch(gxException) {
Console.Error.WriteLine(“GX error (” + gxSystem.GetErrorCode() + “) occured: ” + gxSystem.GetErrorString());
Console.ReadKey();
}
}
}
}
Java
/** \file *********************************************************************
*
* cmanpr01 – CMANPR sample program
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* Show an ANPR process
*
* Purpose:
* At the beginning, the application is checking if everything is all right with the gxsd.dat syntax, if not, the execution will stop and will notify the user about the problem.
* Shows how to do an ANPR on an image and print out the result in text
*/
import com.adaptiverecognition.gx.*;
import com.adaptiverecognition.cm.*;
public class cmanpr01 {
static {
try {
System.loadLibrary(“jgx”);
System.loadLibrary(“jcmanpr”);
} catch(UnsatisfiedLinkError e) {
System.err.println(“Native code library failed to load.” + e);
System.exit(1);
}
}
public static void main(String argv[]) {
try {
gxProperty gxProperty = new gxProperty();
gxProperty.IsPropertiesValid();
System.out.println(“The syntax of the gxsd.dat file is fine!\n”);
// Creates the ANPR object
cmAnpr anpr = new cmAnpr(“default”);
// Creates the image object
gxImage image = new gxImage(“default”);
//Gets the name of the default engine
System.out.println(“Engine: ‘” + anpr.GetProperty(“anprname”) + “‘”);
System.out.println();
// Checks the licenses for the default engine
if (!anpr.CheckLicenses4Engine(“”,0)) {
System.out.println(“Cannot find licenses for the current engine!!!\n”);
System.exit(1);
}
// Loads the sample image
image.Load(“../../data/plate.jpg”);
// Finds the first license plate
if(anpr.FindFirst(image)) {
// Get short country code
String cc = anpr.GetCountryCode(anpr.GetType(),jcmanprConstants.CCT_COUNTRY_SHORT);
//Displays the result, Country code and type
System.out.println(“Plate text: ‘”+anpr.GetText()+”‘; Country code: ‘” + (cc.length()>0?cc: “No plate type”) + “‘ (” + anpr.GetType() + “)”);
} else {
System.out.println(“No license plate found”);
}
// Frees up resources
anpr.delete();
image.delete();
} catch(RuntimeException e) {
System.err.println(“GX error (” + String.format(“0x%08x”,gxSystem.GetErrorCode()) + “) occured: ” + gxSystem.GetErrorString());
System.exit(1);
}
}
}
Virtual Basic
‘/** \file *********************************************************************
‘ *
‘ * cmanpr01 – CMANPR sample program
‘ *
‘ * 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
‘ ******************************************************************************/
‘
‘/**
‘ * Show an ANPR process
‘ *
‘ * Purpose:
‘ * At the beginning, the application is checking if everything is all right with the gxsd.dat syntax, if not, the execution will stop and will notify the user about the problem.
‘ * Shows how to do an ANPR on an image and print out the result in text
‘ */
Imports System
Imports gx
Imports cm
Module Main
Sub Main()
Try
Dim gxProperty As gxProperty = New gxProperty
gxProperty.IsPropertiesValid()
Console.WriteLine(“The syntax of the gxsd.dat file is fine!”)
Console.WriteLine()
‘ Creates the ANPR object
Dim anpr As cmAnpr = New cmAnpr(“default”)
‘ Creates the image object
Dim image As gxImage = New gxImage(“default”)
‘ Gets the name of the default engine
Console.WriteLine(“Engine: ‘{0}'”, anpr.GetProperty(“anprname”))
Console.WriteLine()
‘ Checks the licenses for the default engine
If Not anpr.CheckLicenses4Engine(“”, 0) Then
Console.WriteLine(“Cannot find licenses for the current engine!!!”)
Exit Sub
End If
‘ Loads the sample image
image.Load(“../../../../../../data/plate.jpg”)
‘ Finds the first license plate
If anpr.FindFirst(image) Then
‘ Get short country code
Dim cc As String
cc = anpr.GetCountryCode(anpr.GetType(), CC_TYPE.CCT_COUNTRY_SHORT)
If cc.Length = 0 Then cc = “No plate type”
‘ Displays the result, Country code and type
Console.WriteLine(“Plate text: ‘{0}’; Country code: ‘{1}’ ({2})”, anpr.GetText(), cc, anpr.GetType())
Else
Console.WriteLine(“No license plate found”)
End If
Console.ReadKey()
Catch ex As gxException
Console.Error.WriteLine(“GX error (” + gxSystem.GetErrorCode().ToString() + “) occured: ” + gxSystem.GetErrorString())
Console.ReadKey()
End Try
End Sub
End Module
Licesing Guidelines Based on
Processing Power and Requirements
Guidelines
| Single License (Image/Sec) | Dual License (Image/Sec) | Quad License (Image/Sec) | |
|---|---|---|---|
|
i3 processor
|
1 - 5 | 2 - 10 | 4 - 20 |
|
i5 processor
|
3 - 7 | 6 - 14 | 12 - 28 |
|
i7 processor
|
5 - 10 | 10 - 20 | 20 - 40 |
i3 processor
1 - 5
i5 processor
3 - 7
i7 processor
5 - 10
i3 processor
2 - 10
i5 processor
6 - 14
i7 processor
10 - 20
i3 processor
4 - 20
i5 processor
12 - 28
i7 processor
20 - 40
Image processing capacity depends on numerous factors, such as resolution, the processing capacity of hardware, the complexity of regional license plates, and the number of license plate types in the regional engine. The values above are guidelines based on FHD resolution and OCR-ready images. For more information, please contact us.
Product Documentation and Other Resources
Contact
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Verra Mobility (formerly American Traffic Solutions)
„Overall, the use of the Carmen® engine has produced a very manageable, predictable, cost effective ALPR solution which we utilize as a valuable, technology based efficiency component, of the services we offer our customers. Our company has leveraged the Carmen® engine for more than 5 years and during that period of time worked extensively with Adaptive Recognition to obtain the highest amount of technology and business value while working together through several technical challenges. Adaptive Recognition has been a supportive and responsive partner and we receive value beyond the obvious technical value stated above. Working with a vendor partner that is truly invested in the successful deployment of technology creates additional value for us.”
smart-Tecs, LLC
In US Marine Container terminals, our Carmen® ANPR software identifies license plates passing through the smart-Tecs OCR portals.
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Kapsch TrafficCom USA Inc.
„Dating back to 2015, Kapsch TrafficCom USA has partnered with Adaptive Recognition America (ARA) to provide the Carmen® FreeFlow OCR Engine as part of our product offerings in North America. We have deployed the Carmen® FreeFlow package at multiple sites and for several customers with consistently strong results.
ARA has worked closely with our development team to provide licensing key configurations that would allow Kapsch to deploy multiple Carmen® instances to support high volume AET sites and still be able to meet accuracy and delivery time KPIs.” – Thomas Kramek, Senior Program Director, Kapsch TrafficCom USA Inc.
JAI Inc.
JAI, Inc. (USA) has successfully utilized the Carmen® ANPR software in numerous ITS and tolling systems & operations for the identification, recognition, and reading of vehicle license plates.
CARMEN® engine has been used to develop high-performance back-office systems that routinely process 100,000 + transactions or more daily. These high-volume systems must perform consistently on a 24-hour, 365-day basis under all prevailing weather and ambient conditions throughout the year. These systems operate with an exemplary error rate of less than 1% (!).
„This Adaptive Recognition product is one of the high-performance components to our “State of the art” revenue collection and violation enforcement systems in wide deployment globally.” – Frank Long, Director at JAI Traffic Solutions
Humriya Free Zone
Our professional number plate recognition software, Carmen® is integrated into Axxonsoft’s solution, used in the Humriya Free Zone (United Arab Emirates).
Sharjah Airport Free Zone
Carmen®, our professional license plate recognition software, integrated into Axxonsoft’s solution is used at the Sharjah Airport Free Zone, in the United Arab Emirates.
Serengeti Golf Estate
At the Serengeti Golf Estate in South Africa, our license plate recognition solution is used, integrated into Axxonsoft’s system.
Penang Safe City
In Malaysia’s Penang safe city project, license plate recognition is performed by Axxonsoft’s solution, using the Carmen® Freeflow ANPR software.
Comet Port Services
“We have been using your products for quite some time and may have been one of your first
customers in the US to leverage the Carmen ACCR product. Since then we have added usage to
include semi-truck Chassis IDs and have also integrated the license plate OCR solution. Recently,
we have started to work with the DOT OCR product and are getting very good results at our test
site!
I believe that our solutions offering will grow and a large part of that growth is due to our
inclusion of your products. Thank you again for all that you do and keep up the great work!”
– Mark Anderson, Business Director, August 25, 2020, USA
CatchSystem
CatchSystem installed our ANPR and make & model recognition technology on the A12 highway in the Netherlands. In the bus lane, automated vehicle identification is used for enforcement purposes.
Dubai Marina Mall
Adaptive Recognition’s Freeway HDx 2nd generation ANPR cameras manage vehicle recognition at the Dubai Marina Mall.
A13 Highway – Portugal
Built and managed by Ascendi, the traditional toll gates installed on the Portuguese highway of A13 and A13-1 between Tomar and Coimbra/Condeixa use our flagship Carmen® Freeflow ANPR software for lightning-fast and accurate license plate recognition.
M6 Toll Plaza, Cappataggle – Ireland
Because speed is critical in any toll payment system – to minimize bottlenecks at toll points and to comply with the strict contract requirement related to transaction times – N6 Concessions Ltd is using FreewayCAM ANPR cameras and Carmen® Freeflow ANPR software to extend the tolling system with number plate recognition capabilities, this way ensuring the required level of service.
HERRENTUNNEL
Our license plate recognition technology is used in the automated tolling systems of A1 and A226 highways.
BTCO
BTCO S.A. is a system integrator company with projects delivered to end-users in Chile, Argentina, Uruguay, Peru, and Colombia. In 2020, BTCO acquired 30 Adaptive Recognition SmartCAM ANPR/ALPR cameras to upgrade the access control subsystem of a complex business intelligence system developed for ZOFRI, a 240-ha duty–free zone in the Chilean city of Iquique that houses more than 1,600 operating companies. Since then, time spent at the barriers has been significantly reduced, and unauthorized vehicles are easily prevented from entering the premises.
IBI Group Mexico – Plaza Travel Time System
Being the ambassador of projects creating the world of tomorrow, IBI Group upgraded the Guadalajara–Colima highway tolling system in Mexico with Adaptive Recognition’s ANPR cameras and software to provide a state-of-the-art electronic tolling system. With IBI Group’s solution, the highway operator can also continuously monitor entry and exit times at the toll plazas to deliver the KPIs required by the federal government.
KINEO – Peru
Kineo – Los Portales Estacionamientos parking solutions use Adaptive Recognition’s ParkIT system with FreewayCAM cameras and Carmen® ANPR software.
GTT Logistics – Brazil
In GTT Logistics’ Automated Gates System, the license plates of vehicles and container codes are automatically identified thanks to Adaptive Recognition’s Carmen® Freeflow and Carmen® OCR for container codes software.
PYV Technology Mexico
PYV Technology in Mexico uses our Carmen® Freeflow ANPR software in access control applications.
Himmelsbach
Himmelsbach uses our automatic container code recognition and railway code identification software in various projects.
Casino Admiral -Liechtenstein
This casino in Liechtenstein uses a smart ID scanner to collect guest data automatically – complying with the regulations and speeding up the check-in process.
Sursee Train Station
This train station in Switzerland uses a digital parking system for their travelers. Incoming vehicles are identified by their license plates, using ANPR technology.
Casino Luzern
This casino in Switzerland uses a digital parking system for enhanced convenience and security. Incoming vehicles are identified by their license plates, using ANPR technology.
MOI in Kosovo
At the borders of Kosovo, Combo Smart passport readers are used for document inspection and FreewayCAM ANPR cameras.
Professional Xidmat – Park Bulvar Mall – Baku
This shopping mall in Baku uses Adaptive Recognition ANPR technology in its vehicle parking access control system.
Girteka
Ventech Systems Gmbh (now part of GoodYear) is a developer of professional vehice inspection systems. In some of their projects they use our license plate recognition technology for automatically identifying vehicles.
Vlantana
Ventech Systems Gmbh (now part of GoodYear) is a developer of professional vehice inspection systems. In some of their projects they use our license plate recognition technology for automatically identifying vehicles.
Reifen Jais
Ventech Systems Gmbh (now part of GoodYear) is a developer of professional vehice inspection systems. In some of their projects they use our license plate recognition technology for automatically identifying vehicles.
Rabelink
Ventech Systems Gmbh (now part of GoodYear) is a developer of professional vehice inspection systems. In some of their projects they use our license plate recognition technology for automatically identifying vehicles.
MB Herbrand
Ventech Systems Gmbh (now part of GoodYear) is a developer of professional vehice inspection systems. In some of their projects they use our license plate recognition technology for automatically identifying vehicles.
Duvenbeck
Ventech Systems Gmbh (now part of GoodYear) is a developer of professional vehice inspection systems. In some of their projects they use our license plate recognition technology for automatically identifying vehicles.
JB Hunt in Atlanta Airport
Ventech Systems Gmbh (now part of GoodYear) is a developer of professional vehice inspection systems. In some of their projects they use our license plate recognition technology for automatically identifying vehicles.
Ferrovial
Ferrovial is an expert in highway security. The company integrated our Carmen® Freeflow ANPR engine and installed it in various traffic systems in Portugal (A28 Norte Litoral, A23 Via do Infante) and the USA (NTE TEXpress Lanes, NTE 35W, LBJ TEXpress Lanes, I-77 Express)
Saudi Aramco
In mission-critical environments, security is a must. In this project, an under-vehicle inspection system helps the security staff to create protection against explosives, weapons, narcotics, and other contraband products hidden under vehicles. Our license plate recognition technology identifies each vehicle.
Greek Police // New Alert company
On Greek highways, a modern system is in operation to enforce unauthorized usage of emergency lanes. The system includes our TrafficSpot data gathering solution, EnforceCAM and SmartCAM ANPR cameras, and our traffic database middleware, GDS.
Dutch Police
At the Dutch Police, police vehicles are equipped with mobile ANPR systems that are capable of recognizing wanted vehicles even from a moving vehicle.
Bulgaria Ministry of Interior // SECTRON company
The National Police of Bulgaria use 30 S1 portable speed and traffic enforcement devices. This device is praised for its high-accuracy speed measurement sensor and its onboard processing with embedded license plate recognition and traffic enforcement modules, such as the action list function for catching wanted vehicles.
Armenia Government
Armenia Government uses our ANPR technology to enhance general security in the country.
Galeria Mokotów
Parking is made easy by a ticketless solution in this shopping mall, using license plate data.
Bayer
At Bayer, our ParkIT System makes sure that the entry/exit of all vehicles is quick and secure. This solution uses license plate recognition to automatically identify employees and guests.
Advanced Building Technologies
The project is for the municipality of Tripoli in Lebanon, including a traffic light system with traffic monitoring cameras for license plate recognition and automatic detection of red light violations.
Faculty of Chemistry and Chemical Technology, Ljubljana
Surveillance at this faculty of chemistry is performed by Intellio video management solutions.
Sheraton Dubai Creek Hotel & Towers
Parking and the access control of this hotel is aided by our license plate recognition system, to make it safe and convenient.
PETROAÇORES
Access control is performed by professional license plate recognition at this oil company on the Azores island.
Holiday Park de Barkhoorn
Guests of the friendly Barkhoorn campsite are ensured by the modern, ANPR-based access control system at the entry/exit points of the area.
DFDS
This Danish ferry company decided to ease their passengers’ travel while they optimize their workflow and overcome some of their daily headaches – all at once. Products used: Intellio Initio Dome CCTV cameras, and Combo Scan ID scanners.
Stena Line
In the Stena Line shipping port (Karlskrona, Sweden), there is a lot of goods coming through each day. A new project, called rePORT is being implemented to automate processes and make workflow smarter – in Stena Line’s vision there is a smart port system where freights are properly tracked and personnel’s job is aided with smart technology.
Z-Energy
Z Energy is a New Zealand fuel distributor owning 200+ gas stations nationwide. In 2020, following a successful Pay-by-Plate pilot, formerly branded Fastlane, the company opted for a pay-by-plate solution by Focus Digital Security Solutions for 62 of its sites, comprising CCTV cameras and video management systems with Carmen® Freeflow ANPR software.
Tivoli Hotel & Congress Center
What makes a parking system smart? This well-known hotel in Copenhagen is well aware of it – and we show the details in this case study.
SM Duty Free
Our ultra-compact Combo Scan ID scanners are used in Korea to register customers’ travel document data to complete duty-free purchases.
Budapest Airport
At Budapest Airport, our ID & passport verification technology is used both in regular border control and also in Automated Border Control e-gates to perform quick and hassle-free border crossing while taking security to a next level.
Tunisian Ministry of the Interior
After we delivered a fleet of portable S1 speed cameras with onboard ANPR, Tunisian forces captured 150 vehicles in only 1 month.
ETO Park Győr
Protection for sporting and cultural events attracting masses have always been a security challenge – but not with IntelliSport.
Šport Ljubljana
Protection for sporting and cultural events attracting masses have always been a security challenge – but not with IntelliSport.
VÉDA
Adaptive Recognition ANPR technology serves as the backbone of the Hungarian nationwide road safety and traffic control system.
Túnel de Oriente
Adaptive Recognition provides ANPR technology at the Tunel de Oriente in Colombia.
City of Miskolc
Miskolc is a major county capital in Hungary, on 250+ km2 with more than 150,000 citizens. Organizing centralized security in such a large area is definitely a challenge, but not with smart technology.
Øresund (or Öresund) Bridge
A route with a daily traffic of almost 20,000 vehicles (!) have a crucial need: the smooth flow of traffic with no traffic jams, all these in a way that remains safe. Learn how.
Hungarian Police
According to the EU’s directive, all external borders of the EU will become biometric by 2022. As such, the Hungarian Police opted for Combo Smart Kiosk devices integrated into e-gates to accelerate the passport and ID document checking process while ensuring that unwanted people are caught immediately.
Burj Al Arab
Incoming vehicles are tracked; using the license plate data the system can locate lost luggages, control the entry/exit barriers, find stolen vehicles, maintain a KYC database and more.
Burj Khalifa
The parking system in the world’s highest building is ensured by license plate recognition cameras and automatic, LPR-based access control.
Royal Thai Police
Thailand uses mobile license plate recognition to identify vehicles anywhere on the road. MicroCAM mobile ANPR cameras, mounted on top of police cars, automatically detect and identify all vehicles based on their license plates.
BRD Bank
ID scanners aid bank operations and avoid any losses due to unauthorized transactions. Customer data automatically populates the bank’s IT system while a forgery check is performed on personal documents.
BCR Bank
In all branch offices, transactions and customer verification are enhanced by automatically reading and authenticating customers’ ID documents.
Asfinag
Our software and purpose-built cameras detect vehicles, capture images of the windscreen, and, using our AI-based proprietary software, verify the validity of the printed toll stickers on Austrian highways.
Travelex
The security of money transfer is aided by ID verification.
Hilton
Passport readers at the reception desk make check-in quicker and easier – this way, the hotel offers a truly advanced guest experience.
The Ritz-Carlton
ID document scanners were installed to automatically extract data from passports, visas or ID cards. The system avoids any input errors and offers great speed compared to manual typing.
Drei
The telco company in Austria installed hundreds of Combo Smart N models to benefit from its all-in-one operation: the device automatically processes the ID documents and sends the data packages to a pre-defined server location.
National Safety Agency (AU)
Having a database of wanted vehicles, NSA can easily detect them anywhere on the road, thanks to mobile LPR. In such scenario, an LPR camera with onboard recognition scans all surrounding vehicles and automatically alerts when there is a catch.
Hong Kong Immigration
For immigration checks and automated border control, Hong Kong’s Immigration is one of our key users. Due to the long-term cooperation, several client-specific recognition engines have been developed to comply with special local requirements.
Marriott
Passport readers at the reception desk offer an excellent benefit for the hotel: guest registration reduces to a few seconds from long minutes, and the data automatically populates the hotel / PMS software.
Soho Grand Hotel
Thanks to automated guest data entry using Adaptive Recognition passport readers, there are no more data input errors.
Postal Bank Slovakia
Our Combo Scan ID scanners are used in KYC applications at Postal Bank Slovakia.
VFS
VFS – abbreviation of Visa Facilitation Services – uses Adaptive Recognition ID/passport readers for identifying citizens and quality control of newly issued visas.
Nordea
Nordea bank uses Adaptive Recognition identity verification technology in its KYC applications.
Spielbank Bad Neuenahr
Age verification and customer registration are handled by Adaptive Recognition ID verification technology at this casino in Germany.
Zzzleepandgo
Zzzleepandgo offers airport hotels – modern, capsule-style rooms located at the Malpensa Airport in Italy. The access and check-in to these rooms are enhanced by ID verification.
Kangwon Land Casino
In the South Korean Kangwon Land casino, our ID scanner devices enhance security and customer experience.
HYATT
The hotel Grand Hyatt Athens uses our Combo Smart Kiosk ID scanners for quick and convenient check-in.
ScotiaBank
ScotiaBank Mexico uses our ID scanners in their KYC applications in two business units.
Permanent TSB
GRG Banking
GRG Banking integrated our built-in passport readers in their professional self-service equipment. These kiosks are used as smart ATMs (VTMs) at the DBS Bank in Singapore.
National Toll Payment Services (NUSZ)
Toll enforcement from a moving vehicle, even on remote roads with no checkpoints with fixed cameras? Using a live database connection, Hungarian authorities use MicroCAM cameras mounted on their patrol cars to identify and categorize vehicles. This innovation results from the cooperation of National Toll Payment Services PLC and Adaptive Recognition.
Flughafen München
Adaptive Recognition Combo Smart and Osmond ID readers take care of customer data verification at the duty-free shops of Munich airport.
Hotel Mercure
Our technology handles ID verification for several members of the Mercure Hotel chain.
Serbia Ministry of Interior
Highways in Serbia are monitored by ANPR cameras and tolling is automatically implemented based on license plate recognition.
Harrah’s Casino
Casinos in Las Vegas, such as the Harrah’s deal with a lot of money – and its players have to comply with the age limit and present a valid ID. This is what our ID scanners automate during the check-in process.
Swiss Post
Our recognition technology is used in logistics applications at Swiss Post.