Supported Codes
ISO 6346 (BIC), MOCO, and ILU container codes recognized.
Carmen® OCR
Software Library for Container Code Recognition
Highlighted Features
Tried and tested
Already 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 Updates
Four updates released per year.
Sample Codes
C
/** \file *********************************************************************
*
* cmocr02 - Sample program for Container Code Reader
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* cmocr_readcodea() example
*
* Purpose:
* Demonstrates the use of the cmocr_getresult() function
* to read industrial codes from a series of images.
*
* Description:
* After the user choose what kind o engine would like to try,f
* the application loads the necessary images from file, adds them to the engine, and calls
* the cmocr_getresult() function to read industrial codes from the series.
*/
#include "gxsdldr.c"
#include "gximage.h"
#include "cmocr.h"
#include "gxproperty.h"
#include
#include
#include "stringtools.c"
/** Prints the GX error code and string to the stderr. */
void print_error(const char* format, ...) {
int errcode;
char errstr[256];
char _format[1024];
va_list args;
gx_geterrora(&errcode, errstr, sizeof(errstr) - 1);
errstr[sizeof(errstr) - 1] = 0;
gx_snprintf(_format, sizeof(_format), "\n<%s> GX error (%x) occured: %s\n", format, errcode, errstr);
va_start(args, format);
vfprintf(stderr, _format, args);
va_end(args);
}
/**
* Main function
*/
#define NOCRTYPES 11
const char ocr_types[NOCRTYPES][16] =
{
"aar",
"accr_usa",
"bra",
"chassis",
"ilu",
"iso",
"isoilu",
"moco"
"rus",
"uic",
"usdot",
};
int main(void)
{
gxHANDLE ocrhandle = { 0 };
gxHANDLE imagehandle = { 0 };
gxHANDLE prophandle;
struct CMOCR_RESULT* presult = NULL;
int confidence;
char code[64];
char* type = 0;
int choice_int;
int ix;
bool b_err = false;
/** Open the container reader */
if (!gx_openmodulea(&prophandle, "gxproperty", "default"))
{
print_error("Error while opening gxproperty module");
return 0;
}
printf("Which engine would you like to try ?\n1.AAR\n2.ACCR_USA\n3.BRA\n4.CHASSIS\n5.ILU\n6.ISO\n7.ISOILU\n8.MOCO\n9.RUS\n10.UIC\n11.USDOT\n12.OLD engine(released before 21Q1)\n13.Use the default engine\nPlease choose a number between 1 and 13! Your choice : ");
scanf("%d", &choice_int);
while (choice_int < 1 || choice_int > 13)
{
printf("Please choose a number between 1 and 13: ");
scanf("%d", &choice_int);
}
printf("\n");
if (choice_int <= NOCRTYPES)
{
char t[16] = "", ev[64] = "";
char engname[128] = "";
memset(engname, 0, sizeof(engname));
type = gx_strdup(ocr_types[choice_int - 1]);
gx_strncpy(t, type, sizeof(t));
strupr(t);
memset(ev, 0, sizeof(ev));
gx_snprintf(ev, sizeof(ev) - 1, "%s/cmocr", type);
if (!gx_getpropertya(prophandle, ev, engname, (int)sizeof(engname)))
{
print_error("Reading %s property error", ev);
b_err = true;
}
else
{
printf("You have choosen the \"%s\" engine: %s\n\n", t, engname);
/** Open the container reader */
if (!gx_openmodulea(&ocrhandle, "cmocr", type)) {
print_error("Error while opening cmocr module");
b_err = true;
}
}
}
else
if (choice_int == 12)
{
char engine[128] = "";
printf("You have choosen an old engine (released before 21Q1), please give us the exact engine name like \"cmaccr-7.3.2.66:ilu\": ");
scanf("%s", engine);
if (!gx_setpropertya(prophandle, "default/cmocr", engine))
{
print_error("Error while setting \"%s\" engine as a default", engine);
b_err = true;
}
else
{
char t[16] = "";
type = substring(engine, indexOf(engine, ':') + 1);
trimstr(type);
gx_strncpy(t, type, sizeof(t));
strupr(t);
printf("You have choosen the old (\"%s\") engine: %s\n\n", t, engine);
/** Open the container reader */
if (!gx_openmodulea(&ocrhandle, "cmocr", "default"))
{
print_error("Error while opening cmocr module");
b_err = true;
}
}
}
else
/** Open the container reader */
if (!gx_openmodulea(&ocrhandle, "cmocr", "default"))
{
print_error("Error while opening cmocr module");
b_err = true;
}
else
{
char defeng[128] = "";
memset(defeng, 0, sizeof(defeng));
if (!gx_getpropertya(prophandle, "default/cmocr", defeng, (int)sizeof(defeng)))
{
print_error("Get property error");
b_err = true;
}
else
{
char t[16] = "", * t1, * t2;
type = substring(defeng, indexOf(defeng, ':') + 1);
trimstr(type);
gx_strncpy(t, type, sizeof(t));
strupr(t);
printf("You have choosen the default (\"%s\") engine: %s\n\n", t, defeng);
}
}
if (!b_err)
{
int i;
char images[3][128];
/** Open the image module and allocates the image structure */
if (!gx_openmodulea(&imagehandle, "gximage", "default"))
{
print_error("Error while opening gximage module");
gx_unrefhandle(&ocrhandle);
gx_unrefhandle(&prophandle);
return 0;
}
/** Reset the container module */
if (!cmocr_reset(ocrhandle))
{
print_error("Reset error");
gx_unrefhandle(&ocrhandle);
gx_unrefhandle(&imagehandle);
gx_unrefhandle(&prophandle);
return 0;
}
memset(images, 0, sizeof(images));
for (i = 0; i < 3; i++)
{
gx_snprintf(images[i], sizeof(images[i]), "../../../data/%s%02i.jpg", type, i + 1);
}
free(type);
for (ix = 0; ix < 3; ix++) { /** Allocate an image */ gxIMAGE* image = 0; if (!gx_allocimage(imagehandle, &image)) { print_error("Allocate image failed"); gx_unrefhandle(&ocrhandle); gx_unrefhandle(&imagehandle); gx_unrefhandle(&prophandle); return 0; } /** Load the image */ printf("Load image: %s...", images[ix]); if (!gx_loadimagea(imagehandle, image, images[ix], GX_UNDEF)) { print_error("FAILED"); gx_unrefimage(imagehandle, image); gx_unrefhandle(&ocrhandle); gx_unrefhandle(&imagehandle); gx_unrefhandle(&prophandle); return 0; } else printf("OK\n"); /** Add image to the module */ printf("Add image to the module..."); if (!cmocr_addimage(ocrhandle, image, 0)) { print_error("FAILED"); gx_unrefimage(imagehandle, image); gx_unrefhandle(&ocrhandle); gx_unrefhandle(&imagehandle); gx_unrefhandle(&prophandle); return 0; } else printf("OK\n"); gx_unrefimage(imagehandle, image); } /** Read the first container code */ printf("\nRead the container code by cmocr_getresult() function..."); if (!cmocr_getresult(ocrhandle, &presult)) { print_error("FAILED"); } else printf("OK\n"); if (!presult || (presult->code[0] == 0)) {
printf("No result\n");
}
else
{
int csvalid, checksum;
printf("Code: '%s', Confidence: '%i'\n", presult->code, presult->confidence);
for (ix = 0; ix < presult->nimage; ix++)
printf("\tImgIndex: %d Code: '%s', Confidence: '%i'\n",
presult->images[ix].imgindex,
presult->images[ix].text,
presult->images[ix].confidence);
printf("\nRead the result of the checksum validation...");
if (!cmocr_checksumisvalid(ocrhandle, presult->code, &csvalid, &checksum)) {
print_error("FAILED");
if (presult) gx_globalfree(presult);
return 0;
}
else printf("OK\nChecksum validation result: %i, checksum: %i\n\n", csvalid, checksum);
}
/** Release the result memory */
if (presult) { gx_globalfree(presult); presult = 0; }
/** Release the handle */
if (gx_isvalidhandle(ocrhandle)) gx_unrefhandle(&ocrhandle);
if (gx_isvalidhandle(imagehandle)) gx_unrefhandle(&imagehandle);
if (gx_isvalidhandle(prophandle)) gx_unrefhandle(&prophandle);
return 1;
}
}
C++
/** \file *********************************************************************
*
* cmocr02 - Sample program for Container Code Reader
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* FindFirstContainerCode() example
*
* Purpose:
* Demonstrates the use of the FindFirstContainerCode() function
* to read industrial codes from a series of images.
*
* Description:
* After the user choose what kind of engine would like to try,
* the application loads the necessary images from file, adds them to the engine, and calls
* the FindFirstContainerCode() function to read indutrial codes from the series.
*/
#include "gxsdldr.cpp"
#include "gximage.h"
#include "cmocr.h"
#include "gxproperty.h"
#include
#include
#include
#include
#ifdef GX_NAMESPACES
using namespace gx;
using namespace cm;
using namespace std;
#endif
// trim from start (in place)
static inline void ltrim(std::string& s) {
s.erase(s.begin(), std::find_if(s.begin(), s.end(), [](unsigned char ch) {
return !std::isspace(ch);
}));
}
// trim from end (in place)
static inline void rtrim(std::string& s) {
s.erase(std::find_if(s.rbegin(), s.rend(), [](unsigned char ch) {
return !std::isspace(ch);
}).base(), s.end());
}
// trim from both ends (in place)
static inline void trim(std::string& s) {
ltrim(s);
rtrim(s);
}
static inline std::string strupr(std::string s)
{
std::string ret = s;
std::transform(ret.begin(), ret.end(), ret.begin(), [](unsigned char c) { return std::toupper(c); });
return ret;
}
/**
* Main function
*/
int main(void) {
const int NOCRTYPES = 11;
char* ocr_types[NOCRTYPES] =
{
"aar",
"accr_usa",
"bra",
"chassis",
"ilu",
"iso",
"isoilu",
"moco"
"rus",
"uic",
"usdot",
};
try {
gxProperty gxProperty;
cout << "Which engine would you like to try ?\n1.AAR\n2.ACCR_USA\n3.BRA\n4.CHASSIS\n5.ILU\n6.ISO\n7.ISOILU\n8.MOCO\n9.RUS\n10.UIC\n11.USDOT\n12.OLD engine(released before 21Q1)\n13.Use the default engine\nPlease choose a number between 1 and 13! Your choice : "; int choice_int; cin >> choice_int;
while (choice_int < 1 || choice_int > 13)
{
cout << "Please choose a number between 1 and 13: "; cin >> choice_int;
}
cout << endl;
// Open the container reader
cmOcr* ocr = 0;
string type = "";
if (choice_int <= NOCRTYPES)
{
type = ocr_types[choice_int - 1];
std::string utype = strupr(type);
string engine = gxProperty.GetProperty(type + "/cmocr");
cout << "You have choosen the \"" << utype << "\" engine: " << engine << "\n\n";
ocr = new cmOcr(type);
}
else if (choice_int == 12)
{
cout << "You have choosen an old engine (released before 21Q1), please give us the exact engine name like \"cmaccr-7.3.2.66:ilu\": "; string engine; cin >> engine;
gxProperty.SetProperty("default/cmocr", engine);
type = engine.substr(engine.find(':') + 1);
trim(type);
std::string utype = strupr(type);
cout << "You have choosen the old (\"" << utype << "\") engine: " << engine << "\n\n";
ocr = new cmOcr("default");
}
else
{
ocr = new cmOcr("default");
string engine = gxProperty.GetProperty("default/cmocr");
type = engine.substr(engine.find(':') + 1);
trim(type);
std::string utype = strupr(type);
cout << "You have choosen the default (\"" << utype << "\") engine: " << engine << "\n\n"; } // Reset the container module ocr->Reset();
char images[3][128];
memset(images, 0, sizeof(images));
for (int i = 0; i < 3; i++)
{
gx_snprintf(images[i], sizeof(images[i]), "../../../data/%s%02i.jpg", type.c_str(), i + 1);
}
for (int ix = 0; ix < 3; ix++) {
// Load the image
gxImage image;
cout << "Load " << images[ix] << "...";
image.Load(images[ix]);
cout << "OK" << endl;
// Add image to the module
cout << "Add image to the module" << "..."; ocr->AddImage(image, 0);
cout << "OK" << endl;
}
cout << endl;
// Read the code
cout << "Read the code by FindFirstContainerCode() function..."; ocr->FindFirstContainerCode();
cout << "OK" << endl; if(ocr->IsValid())
{
cout << "Code: '" << ocr->GetCodeA() << "', Confidence: '" << ocr->GetConfidence() << "'" << endl;
for (int ix=0; ixGetNumberOfImages(); ix++)
cout << "\t" <<
"ImgIndex: " << ocr->GetImageIndex(ix) << ", " <<
"Code: '" << ocr->GetImageTextA(ix) << "', " <<
"Confidence: '" << ocr->GetImageConfidence(ix) << "'" << endl;
cout << endl << "Read the result of the checksum validation..."; int csvalid = ocr->ChecksumIsValid();
int checksum = ocr->GetChecksum();
cout << "OK" << endl;
cout << "Checksum validation result: " << csvalid << ", checksum: " << checksum << endl << endl;
}
else
{
cout << "No result" << endl;
}
} catch(gxError &e) {
// Displays error code and description
cerr << "GX error (" << e.GetErrorCode() << ") occurred: " << e.GetErrorStringA() << "\n";
// Terminates the program
return 0;
}
return 1;
}
C#
/** \file *********************************************************************
*
* cmocr02 - Sample program for Container Code Reader
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* FindFirstContainerCode() example
*
* Purpose:
* Demonstrates the use of the FindFirstContainerCode() function
* to read industrial codes from a series of images.
*
* Description:
* After the user choose what kind of engine would like to try,
* the application loads the necessary images from file, adds them to the engine, and calls
* the FindFirstContainerCode() function to read indutrial codes from the series.
*/
using gx;
using cm;
using System;
namespace cmocr01
{
class MainClass
{
const int NOCRTYPES = 11; // Number of OCR engine types
public static string[] ocr_types = new string[NOCRTYPES]
{
"aar",
"accr_usa",
"bra",
"chassis",
"ilu",
"iso",
"isoilu",
"moco"
"rus",
"uic",
"usdot",
};
public static void Main(string[] args)
{
try
{
gxProperty gxProperty = new gxProperty();
Console.Write("Which engine would you like to try ?\n1.AAR\n2.ACCR_USA\n3.BRA\n4.CHASSIS\n5.ILU\n6.ISO\n7.ISOILU\n8.MOCO\n9.RUS\n10.UIC\n11.USDOT\n12.OLD engine(released before 21Q1)\n13.Use the default engine\nPlease choose a number between 1 and 13! Your choice : ");
string choice = Console.ReadLine();
//Console.WriteLine("\""+choice+"\"");
int choice_int = Convert.ToInt32(choice);
while (choice_int < 1 || choice_int > 13)
{
Console.Write("Please choose a number between 1 and 13: ");
choice = Console.ReadLine();
//Console.WriteLine("\"" + choice + "\"");
choice_int = Convert.ToInt32(choice);
}
Console.WriteLine();
//Creates the OCR object
cmOcr ocr;
string type = "";
if (choice_int <= NOCRTYPES)
{
type = ocr_types[choice_int - 1];
Console.WriteLine("You have choosen the \"{0}\" engine: {1}\n", type.ToUpper(), gxProperty.GetProperty(type + "/cmocr"));
ocr = new cmOcr(type);
}
else if (choice_int == 12)
{
Console.Write("You have choosen an old engine (released before 21Q1), please give us the exact engine name like \"cmaccr-7.3.2.66:ilu\": ");
string engine = Console.ReadLine();
Console.WriteLine();
//Console.WriteLine("\"" + engine + "\"");
gxProperty.SetProperty("default/cmocr", engine);
type = engine.Substring(engine.IndexOf(":") + 1);
type = type.Trim();
Console.WriteLine("You have choosen the old (\"{0}\") engine: {1}\n", type.ToUpper(), engine);
ocr = new cmOcr("default");
}
else
{
ocr = new cmOcr("default");
string engine = gxProperty.GetProperty("default/cmocr");
type = engine.Substring(engine.IndexOf(":") + 1);
type = type.Trim();
Console.WriteLine("You have choosen the default (\"{0}\") engine: {1}\n", type.ToUpper(), engine);
}
ocr.Reset();
string[] images = new string[3];
for (int i = 0; i < images.Length; i++)
{
images[i] = "../../../../../../data/" + type + (i + 1).ToString("D2") + ".jpg";
}
for (int ix = 0; ix < 3; ix++)
{
// Creates the image object
gxImage image = new gxImage("default");
// Loads the sample image
Console.Write("Load {0}...", images[ix]);
image.Load(images[ix]);
Console.WriteLine("OK");
// Add image to the module
Console.Write("Add image to the module...");
ocr.AddImage(image, 0);
Console.WriteLine("OK");
image.Dispose();
}
Console.WriteLine();
//Console.WriteLine(ocr.GetProperty("datafile"));
// Read the code
Console.Write("Read the code by FindFirstContainerCode() function...");
ocr.FindFirstContainerCode();
Console.WriteLine("OK");
if (ocr.IsValid())
{
Console.WriteLine("Code: '{0}', Confidence: '{1}'", ocr.GetCode(), ocr.GetConfidence());
for (int ix = 0; ix < ocr.GetNumberOfImages(); ix++)
{
Console.WriteLine("\tImgIndex: {0}, Code: '{1}', Confidence: '{2}'",
ocr.GetImageIndex(ix),
ocr.GetImageText(ix),
ocr.GetImageConfidence(ix));
}
Console.Write("Read the result of the checksum validation...");
int csvalid = ocr.ChecksumIsValid();
int checksum = ocr.GetChecksum();
Console.WriteLine("OK");
Console.WriteLine("Checksum validation result: {0}, checksum: {1}", csvalid, checksum);
}
else
{
Console.WriteLine("No result");
}
//Console.ReadKey();
}
catch (gxException)
{
Console.Error.WriteLine("GX error (" + gxSystem.GetErrorCode() + ") occured: " + gxSystem.GetErrorString());
//Console.ReadKey();
}
}
}
}
Java
/** \file *********************************************************************
*
* cmocr02 - Sample program for Container Code Reader
*
* 2006-2021 (c) Adaptive Recognition Hungary Inc. (http://www.adaptiverecognition.com)
******************************************************************************/
/**
* FindFirstContainerCode() example
*
* Purpose:
* Demonstrates the use of the FindFirstContainerCode() function
* to read industrial codes from a series of images.
*
* Description:
* After the user choose what kind of engine would like to try,
* the application loads the necessary images from file, adds them to the engine, and calls
* the FindFirstContainerCode() function to read indutrial codes from the series.
*/
import com.adaptiverecognition.gx.*;
import com.adaptiverecognition.cm.*;
import java.io.InputStreamReader;
import java.io.BufferedReader;
import java.io.IOException;
public class cmocr02
{
static
{
try
{
System.loadLibrary("jgx");
System.loadLibrary("jcmocr");
}
catch (UnsatisfiedLinkError e)
{
System.err.println("Native code library failed to load." + e);
System.exit(1);
}
}
public static int NOCRTYPES = 11;
public static String ocr_types[] =
{
"aar",
"accr_usa",
"bra",
"chassis",
"ilu",
"iso",
"isoilu",
"moco"
"rus",
"uic",
"usdot",
};
public static void main(String argv[]) throws IOException
{
try
{
gxProperty gxProperty = new gxProperty();
System.out.print("Which engine would you like to try ?\n1.AAR\n2.ACCR_USA\n3.BRA\n4.CHASSIS\n5.ILU\n6.ISO\n7.ISOILU\n8.MOCO\n9.RUS\n10.UIC\n11.USDOT\n12.OLD engine(released before 21Q1)\n13.Use the default engine\nPlease choose a number between 1 and 13! Your choice : ");
// Enter data using BufferReader
BufferedReader reader = new BufferedReader(
new InputStreamReader(System.in));
String choice = reader.readLine();
int choice_int = Integer.parseInt(choice);
while (choice_int < 1 || choice_int > 13)
{
System.out.print("Please choose a number between 1 and 13: ");
choice = reader.readLine();
//Console.WriteLine("\"" + choice + "\"");
choice_int = Integer.parseInt(choice);
}
System.out.println("");
// Creates the OCR object
cmOcr ocr;
String type = "";
if (choice_int <= NOCRTYPES)
{
type = ocr_types[choice_int - 1];
System.out.println("You have choosen the \"" + type.toUpperCase() + "\" engine: " + gxProperty.GetProperty(type + "/cmocr") + "\n");
ocr = new cmOcr(type);
}
else if (choice_int == 12)
{
System.out.println("You have choosen an old engine (released before 21Q1), please give us the exact engine name like \"cmaccr-7.3.2.66:ilu\": ");
String engine = reader.readLine();
//System.out.println("\"" + engine + "\"");
gxProperty.SetProperty("default/cmocr", engine);
type = engine.substring(engine.indexOf(":") + 1);
type = type.trim();
System.out.println("You have choosen the old (\"" + type.toUpperCase() + "\") engine: " + engine + "\n");
ocr = new cmOcr("default");
}
else
{
ocr = new cmOcr("default");
String engine = gxProperty.GetProperty("default/cmocr");
//System.out.println("\"" + engine + "\"");
gxProperty.SetProperty("default/cmocr", engine);
type = engine.substring(engine.indexOf(":") + 1);
type = type.trim();
System.out.println("You have choosen the default (\"" + type.toUpperCase() + "\") engine: " + engine + "\n");
}
// Reset the container module
ocr.Reset();
String images[] = new String[3];
for (int i = 0; i < images.length; i++)
{
images[i] = "../../data/" + type + String.format("%02d", i + 1) +".jpg";
}
for (int ix = 0; ix < 3; ix++)
{
// Creates the image object
gxImage image = new gxImage("default");
// Loads the sample image
System.out.print("Load: " + images[ix] + "...");
image.Load(images[ix]);
System.out.println("OK");
// Add image to the module
System.out.print("Add image to the module...");
ocr.AddImage(image, 0);
System.out.println("OK");
}
System.out.println("");
// Read code
System.out.print("Read the code by FindFirstContainerCode() fucntion...");
ocr.FindFirstContainerCode();
System.out.println("OK");
if (ocr.IsValid())
{
System.out.println("Code: '" + ocr.GetCode() + "', Confidence: '" + ocr.GetConfidence() + "'");
for (int ix = 0; ix < ocr.GetNumberOfImages(); ix++)
System.out.println("\tImgIndex: " + ocr.GetImageIndex(ix) + ", " +
"Code: '" + ocr.GetImageText(ix) + ", " +
"Confidence: '" + ocr.GetImageConfidence(ix) + "'");
System.out.print("Read the result of the checksum validation...");
int csvalid = ocr.ChecksumIsValid();
int checksum = ocr.GetChecksum();
System.out.println("OK\nChecksum validation result: " + csvalid + ", checksum: " + checksum);
}
else
{
System.out.println("No result");
}
}
catch (RuntimeException e)
{
System.err.println("GX error (" + String.format("0x%08x",gxSystem.GetErrorCode()) + ") occured: " + gxSystem.GetErrorString());
System.exit(1);
}
}
}
Visual 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
Licensing Guidelines Based on
Processing Power and Requirements
| Single License (Image/Sec) | Dual License (Image/Sec) | Quad License (Image/Sec) | |
|---|---|---|---|
|
i3 processor
|
1 - 3 | 2 - 6 | 4 - 12 |
|
i5 processor
|
2 - 5 | 4 - 10 | 8 - 20 |
|
i7 processor
|
3 - 7 | 6 - 14 | 12 - 28 |
i3 processor
1 - 3
i5 processor
2 - 5
i7 processor
3 - 7
i3 processor
2 - 6
i5 processor
4 - 10
i7 processor
6 - 14
i3 processor
4 - 12
i5 processor
8 - 20
i7 processor
12 - 28
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. The values above are guidelines based on FHD resolution and OCR-ready images. For more information, please contact us.
Product documentation including install guides, manuals, technical documentation and more
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View our representatives on a mapReference Projects for This Product Category
KazAvtoZhol (QazAvtoJol)
By being Kazakhstan’s national road management operator, KazAvtoZhol faces a great challenge: automating the tolling of over 10,000 km of roads as part of the “Western Europe – Western China” framework project. The first signs are already visible on three Kazakh highways, which now offer automated tolling and 20 weigh-in-motion stations thanks to Adaptive Recognition ANPR cameras and software.
Directorate of Citizenship and Immigration Control, Uganda
Ugandan Immigration officers now can effectively control the entry into the country with Adaptive Recognition’s Osmond passport reader and ID scanner devices.
Interstate 77 (I-77) U.S. Highway
Carmen® ANPR Image software enhances the traffic monitoring experience on the Interstate 77 (I-77) highway in the United States for drivers and operators alike.
City of Baguio, Philippines
Traffic management in the City of Baguio in the Philippines is handled by Adaptive Recognition’s state-of-the-art ANPR solution, Carmen® ANPR Image.
Secretary of Public Safety, Puebla Municipal Government, Mexico
The street of the Mexican city of Puebla are now safer thanks to Adaptive Recognition’s mobile MicroCAM M402 ANPR camera units.
REPUVE, Mexico
The acronym REPUVE synthesizes the name of a public institution: the Public Vehicle Registry. This state agency is in charge of controlling the circulation of vehicles on the streets and highways throughout the Mexican territory. Its main community contribution is to help the police authorities to combat the illegal theft of vehicles and to return the seized units to their owners.
Adaptive Recognition’s contribution to the REPUVE initiative: M402 MicroCAM mobile ANPR camera units.
Siett Cartago – Deviteck, Colombia
Thanks to the cooperation between Siett Cartago SAS and Deviteck, vehicle speed is monitored and enforced by Adaptive Recognition SmartCAM ANPR cameras.
University of the Sunshine Coast, Australia
Access control to this public university is aided by the M202 models of Adaptive Recognition’s MicroCAM mobile ANPR cameras.
Radisson Hotels, Trinidad and Tobago
A member of the Radisson Hotels chain (formerly Capital Plaza Hotel) in Port of Spain, Trinidad and Tobago, is using Adaptive Recognition Combo Smart passport readers and ID scanners to accelerate guest registration processes.
Directorate General of Migration, Nicaragua
With the cooperation between Sistems Enterprise and Adaptive Recognition, Combo Smart passport readers and ID scanners guard several Nicaraguan border crossing points.
Entrypass Corporation, Malaysia
The Malaysian company of Entrypass Corporation Sdn Bhd now has a visitor management system comprising Adaptive Recognition Combo Smart ID readers.
Darwin Trailer Boat Club, Australia
Client registration at this Australian boat club is now faster and more convenient thanks to Adaptive Recognition Combo Scan ID reader units.
Shamal Travels
Thanks to Hajonsoft, Shamal Travels in Mauritius can now perform fast and advanced ID registry and verification with Adaptive Recognition’s Combo Smart passport readers.
Malek Travel & Tours
Travelers choosing South African Malek Travel & Tours now enjoy a better ID registration and verification experience thanks to Adaptive Recognition’s Combo Smart passport readers.
Be Live Hotels
Being owned by the first Spanish tourism company, Globalia, and being mostly present in Spanish-speaking regions such as the Iberian Peninsula, the Caribbeans, and Northwestern Africa, Be Live Hotels is a network of four- and five-star hotels, offering unique experiences for their guests. To better the guest registration process, the hotel chain’s Caribbean branch first purchased two Combo Smart advanced passport readers and ID scanners from Adaptive Recognition, soon to be followed by more purchases.
SSK Technologies LLC
Established in 1999, SSK Technologies provides and develops security and surveillance solutions for all prime sectors, including but not limited to government, hospitality, construction, telecom, education, and healthcare. For the Expo Dubai 2020 event, the company created a special, unified platform called VDS to manage UVSS, ACS, VMS, etc., security systems simultaneously and handle ANPR information acquired from Adaptive Recognition’s state-of-the-art ANPR/LPR cameras.
Focus Digital Security Solutions
Founded in 2009, New Zealand-based Focus Digital Security Solutions is an experienced system integrator in the Oceania region when it comes to designing and deploying advanced CCTV, access control, and license plate recognition solutions. By implementing Adaptive Recognition’s industry-leading ANPR software, Carmen® ANPR Image with Digifort’s advanced Video Management System, and being in close cooperation with Auror, a retail crime intelligence and loss prevention platform, Focus Digital pioneered a complex video surveillance system preventing major fuel station chains from falling victim to drive-off related fuel theft.
6SS
Founded in 2013, 6SS is a developer and provider of security solutions, helping businesses with video analytics, intelligent platforms, plug-ins, and third-party integrations worldwide. With their solution, a major Egyptian client managed to integrate 15 regular IP cameras into an advanced system comprising a straightforward data analytics platform and Adaptive Recognition’s industry-leading license plate recognition solution, Carmen® ANPR Image.
College of the North Atlantic Qatar
Thanks to upgrading to the latest, most advanced technology in vehicle access control, parking at the College of the North Atlantic Qatar is now managed by the tandem of Adaptive Recognition’s Vidar high-speed traffic monitoring cameras and Carmen® ANPR Image.
Qatar Gas HQ Building
Access control of the headquarters building of Qatar Gas is now managed by Adaptive Recognition’s Vidar HDx traffic monitoring camera models and industry-renowned Carmen® ANPR Image.
ZOFRI, Chile
ZOFRI is a 240 ha duty–free zone in the Chilean city of Iquique. Housing more than 1,600 operating companies, this special zone is safeguarded by a complex business intelligence system explicitly developed for ZOFRI by BTCO S.A. Integrated into the system is an access control subsystem that has been upgraded with 30 Adaptive Recognition SmartCAM ANPR/ALPR cameras in 2020 to reduce time spent at the barriers and filter out unauthorized vehicles from entering the premises.
Revenue Service, Department of Finance, Georgia
Our ID readers help the work of customs officers in Georgia.
Pasha Global Casinos
ID readers for client registration have been installed at the Casino Hotel Medea in Batumi, Georgia, part of the Pasha Global network of casinos.
United Nations Development Programme, Georgia
For the United Nations Development Programme, ANPR/ALPR systems have been installed at border crossing points in Georgia.
Ministry of Internal Affairs, Georgia
ID readers for border crossing points at international airports, and radar systems for traffic control have been installed in Georgia.
Sharm El Sheikh International Airport
Apriclass-GELB
With the aid of 120 Adaptive Recognition ParkIT ANPR/ALPR cameras and world-renowned Carmen® ANPR/ALPR software, Apriclass-GELB, under the supervision of Pablo Maggiore, Product Manager of Apriclass, managed to upgrade the access control systems of many major Argentinian airports across the country. Now passengers can enjoy a faster, smoother, more reliable parking experience.
Saudi Customs, Saudi Arabia
With the help of the Technical United Co., the Saudi Customs offices managed to upgrade the border control at the borders of Saudi Arabia with sophisticated X-ray scanner systems. Our FreeWAY ANPR cameras read and recognize license plates to be compared with the Saudi Arabian vehicle database alongside the X-ray car scanners. A more complex X-ray system with FreeWAY, SmartCAM, and ContainerCAM traffic monitoring cameras was also implemented to read the license plates and container codes of trucks. A simpler version of this system – consisting of X-ray scanners, SmartCAMS, and ContainerCAMs – was installed on gantries at specific Saudi Arabian border crossing points.
Headquarters of the Council of the European Union
“The UVIScan system, combined with Adaptive Recognition‘s additional ANPR components, proved to be excellent in replacing the traditional way of under vehicle inspection. We were so satisfied that we decided to drop renting the solution and opt for permanent fixtures. With the help of SecureOne, we installed two fixed UVIScan (Under Vehicle Inspection) systems plus ANPR provided by Adaptive Recognition in 2013, which have been working perfectly ever since.“
– Freddy Bosman, Head of Security Systems at the European Council Headquarters, 2015, Brussels, Belgium
United Kingdom Parliament
By upgrading to a new access control system comprising of Carmen® ANPR Image Freeflow and a set of FreewayCAM ANPR cameras, the Curtis Garden Gate of the UK Houses of Parliament can now ensure a fast, safe, and fully automated admission of representatives and other parliament employees to designated parking lots.
Bratislava Airport
General Intelligence Directorate Head Offices, Riyadh
At the Riyadh head offices of the Directorate of General Intelligence of Saudi Arabia, a total of 12 entry and exit gates are safeguarded by AR ParkIT traffic monitoring cameras integrated into KASHEF, the Saudi central vehicle database.
Emirate of Madinah Province
The parking of the Governor’s house at the Emirate of Madinah Province has been upgraded with our ParkIT ANPR parking solution.
Cayan Group HQ Building
Teaming up with 4Axis, Captaurus successfully installed our ParkIT access control cameras to the parking areas of the CMC Tower, the headquarters of Cayan Group.
Ministry of Defense, Crown Prince Muhammad Bin Salman Office
The Office of HH Crown Prince Mohammed Bin Salman at the aviation site of the Saudi Arabian Ministry of Defense is protected by Adaptive Recognition’s tried and tested ParkIT ANPR cameras.
Riyadh Valley, King Saud University
Located within the Riyadh campus of the King Saud University, the Riyadh Techno Valley is often nicknamed the Silicon Valley of Saudi Arabia to transform the country into a knowledge-based economy. To fit this purpose, the building complex adapted our ParkIT smart ANPR cameras for its parking facilities.
King Khalid International Airport, Riyadh
Commissioned by the Bin-Dayel Group, Captaurus installed a complex parking system for the international parking lot of the King Khalid Airport of Riyadh, consisting of Adaptive Recognition’s highly reliable ParkIT ANPR cameras.
European Central Bank
Læsø Municipality
By upgrading to a pay-by-plate solution using our SmartCAM ANPR cameras, the ferry service operated by the Læsø Municipality is now running more cost-efficiently thanks to faster turnover rates and the better dispersion of vehicles on board the ships.
Royal Commission for Al-‘Ula
To further improve the nearby heritage sites’ cultural significance, the Royal Commission of Al-‘Ula is erecting a centralized command and control center with a 911 emergency response operation. The parking areas and entrances to the center’s campus and buildings use 15 of our ANPR cameras licensed under the Tyco brand connected to a server-based ANPR solution.
Aramco – Jizan Bulk Plant
Teaming up with Abaja Contracting Establishment, 6SS successfully upgraded the Aramco Jizan Bulk Plant access control system with the HDx Digital model of our FreeWAY ANPR camera.
Al Bayt Stadium
Located in Al Khor, Qatar, and opened in February 2020, the Al Bays Stadium will house the opening ceremony of the 2022 FIFA World Cup and several football matches. Over 2,800 ANPR cameras – including one of ours – safeguard the entering and exiting of the audience’s vehicles in the stadium’s parking facilities, all of which use the Milestone XProtect Expert virtual machine system in tandem with the ANPR system of 6SS.
Bin Shabib Mall
The parking garage comprising of 270 spaces and located under this shopping mall complex uses the access control system comprising of our Carmen® ANPR software and three ANPR cameras of the FreeWAY kind.
ADCB
ADCB, one of the most relevant commercial banking companies in the United Arab Emirates, had its access control system to its parking premises installed with four of our FreeWAY ANPR cameras and got them integrated into our Carmen® ANPR software.
Teejan General Trading LLC
Being a main distributor of specialized building materials for many clients, Teejan General Trading LLC considers safe warehousing of utmost importance. As such, the company has decided to safeguard the entrances to its strategically located warehouse in Dubai with two of our FreeWAY cameras and hook them up to our industry-leading ANPR software, Carmen®.
Souq Extra
The parking lot for the Dubai offices of this retail center development company uses two of our products: a FreeWAY camera and Carmen® ANPR Image software.
First Avenue Mall
Opened in 2018, the First Avenue Mall & Hotel is an environmentally friendly, contemporary, European-style mall stretched over 46,000 square meters. Its underground parking garage is equipped with our solution, consisting of an Adaptive Recognition FreeWAY traffic monitoring camera and the Carmen® ANPR Image software.
Elmacs Co. LLC
Elmacs Co. LLC is a major player in the United Arab Emirates in the installation and maintenance of mechanical, electrical, plumbing, and firefighting systems. Access to parking spaces at the company’s offices in Dubai is now safeguarded by four FreeWAY cameras linked to our industry-leading ANPR software, Carmen®.
GECO Mechanical and Electrical Ltd.
At the main GECO complex, located in Sharjah, the United Arab Emirates, the access control system is managed by Carmen® linked to our two FreeWAY ANPR cameras.
Kiang Wu Nursing College of Macau
The facility’s access control system features our ParkIT ANPR cameras.
28 Mall, Baku, Azerbaijan
The shopping mall’s parking access control system features our ParkIT ANPR cameras.
Axiome Concept Inc
Axiome has installed several ParkIT license plate cameras with our Carmen® ANPR software for its automated parking management system. In Canada, these systems operate at Hilton Pearson, SOHO Hotel and at the Quebec Airport, for example.
Advanced Detection Technology
Advanced Detection Technology has been employing our Carmen® ALPR / ANPR engine as a key module for its comprehensive access control solutions for over a year and has experienced great results and positive feedback from customers. With this success, Advanced Detection Technology has decided to integrate the ALPR technology as a built-in, value added feature to its LowCam™ Under Vehicle Inspection Systems.
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 is used for identifying license plates passing through the smart-Tecs OCR portals.
„We have been successfully implementing this solution with our own Gate Operating Software (GOS). We’ve experienced over 97 percent successful recognition rate of license plates. We are extremely pleased with the results and are completely satisfied with the efficiency of the Carmen ANPR software.” – Lawrence Chan, Vice President of Operations, smart-Tecs, LLC
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 in the development of high-performance back-office systems that routinely process 100,000 + transactions or more daily. These high volume systems are required to 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: 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 the Penang safe city project in Malaysia, license plate recognition is performed by Axxonsoft’s solution, using the Carmen® ANPR Image SDK.
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
Egis
CatchSystem
CatchSystem installed our ANPR and make & model recognition technology at the A12 highway in Netherlands. In the bus lane, the automated vehicle identification is used for enforcement purposes.
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® ANPR Image software for a 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® ANPR Image 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 the South-American countries of 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
GTT Logistics – Brazil
PYV Technology Mexico
Himmelsbach
Himmelsbach uses our automatic container code recognition and wagon 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
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® ANPR Image 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, a special under-vehicle inspection system helps the security staff to create a protection against explosives, weapons, narcotics, and other contraband products hidden under vehicles. Each vehicle is identified by our license plate recognition technology.
Greek Police // New Alert company
On the Greek highways, there is a modern system in operation to enforce unauthorized usage of emergency lanes. The system includes our TrafficSpot data gathering solution, with 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
30 pieces of S1 portable speed and traffic enforcement systems are used at the National Police of Bulgaria. 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 own 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 all across the country. In 2020, following a successful Pay-by-Plate pilot, formerly branded as Fastlane, the company opted for a pay-by-plate solution by Focus Digital Security Solutions for 62 of its sites, comprising of CCTV cameras and video management systems with Carmen® ANPR Image 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 ID scanners are used in Korea to register customers’ travel document data to complete their 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 automatic mobile cameras with on-board 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
Hungarian government had a dream back in 2012: reducing fatal road accidents to half by 2020, decreasing it to near zero by 2050.
Túnel de Oriente
Earlier, this route took one hour, while now it is only 18 minutes thanks to two brand new tunnels and a bridge.
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
By the EU’s directive, all external borders of the EU are becoming biometric by 2022. As such, the Hungarian Police opted for Combo Smart Kiosk devices integrated into e-gates to accelerate further the passport and ID document checking process while also ensuring that unwanted people are caught right on the spot.
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
For identifying vehicles anywhere on the road, Thailand uses mobile license plate recognition. MicroCAMs, mounted on top of police cars, automatically detect all vehicles and identify them based on their license plates.
BRD Bank
ID scanners aid bank operation and avoid any losses due to unauthorized transactions. Customer data automatically populates the bank’s IT system while a forgery check is also performed on the 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 can detect vehicles traveling at highway speed, capture razor-sharp images of the windscreen, and using our AI-based proprietary software, verify the validity of the printed toll sticker by recognizing the text and the place of the punch holes.
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 send 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 a great benefit for the hotel: guest registration reduces to a few seconds from lengthy minutes, the data automatically populates the hotel / PMS software.
Soho Grand Hotel
No more data input errors thanks to automated guest data entry, using Adaptive Recognition passport readers.
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
Spielbank Bad Neuenahr
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
ScotiaBank
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 where there are no checkpoints with fixed cameras? Hungarian authorities use MicroCAM mounted on their patrol cars to identify and categorize vehicles using a live database connection. This innovation is a result of the cooperation of National Toll Payment Services PLC and Adaptive Recognition.
Flughafen München
Hotel Mercure
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.