CARMEN FreeFlow Software

Transcription

1 CARMEN FreeFlow Software License Plate Recognition Software Library & SDK THE ULTIMATE RECOGNITION ENGINE FOR INTELLIGENT TRAFFIC APPLICATIONS The CARMEN FreeFlow software is the flagship of the CARMEN Recognition Software family. CARMEN FreeFlow is designed to read License Plates of automobiles. License plates are the most common and easily identifiable means of motor vehicles worldwide. Traffic monitoring and security, tolling and congestion charging systems, speed and journey time measurement, access control, parking management, bus lane enforcement, border control or gas station monitoring, amongst many other systems can all benefit from the fast and exact automatic identification and recognition capabilities. CARMEN FreeFlow reads license plates from many image sources very fast and with the highest recognition accuracy. It offers country independent recognition as well as recognition of license plates written, not only in the Latin character alphabets, but also in Arabic, Cyrillic, Chinese, Korean, Thai and many more. Key features Automatic recognition of license plates from vehicles in free flowing traffic Fast, easy and straightforward use Hardware independence: compatible with any image source (analogue / digital / still images / MJPEG video streams) Country, state or province and plate type recognition main benefits Saving time and energy in data entry, automating license plate reading Decreasing data entry errors with high accuracy and recognition rates Increasing security and safety of highways and access control areas Raising fidelity by withstanding various plate sizes, syntaxes and distorted plate images Allowing smooth and problem-free 24/7 operation Special ANPR/LPR cameras are available for higher quality images and recognitions rates.

2 Specifications CARMEN FreeFlow Software General information Purpose Supported operating systems Supported Platforms Minimum System requirements Licensing Available Neural Controllers Automatic recognition of vehicle license plates a number plate recognition software for various intelligent traffic systems, security and any access control environments. Windows (32/64 bit) Linux (32/64 bit) x86_32 x86_64 ARMv7 PPC 1 GHz CPU 512 MB RAM 1 GB HDD free slot for NNC One license per application thread, multiple license/controller is available PCI 2.1 video capture card (FXVD4) PCI 2.1 card (FXMC) PCIe card (x1) USB 2.0 (internal is also available) Express card 34 (54 compatible) PC 104+ card Interface Input Output Trigger Still image from file or memory in any image format ( BMP PNG JPEG JPEG2K RAW ) Live analog video input (PAL or NTSC) Live digital camera input OCR data License plate number in ASCII/UNICODE text Position of the plate Confidence level in percentage Confidence levels for each characters List of further suggestions for each character Individual result for each plate on an image Color of plate (optional) Country ID (optional) Location of each plate on one image Can be integrated with any trigger device (recommended when recognizing from live image stream) Software motion detection module is included Development tools for easy integration Supported programming languages under Windows Supported programming languages under Linux In The Box C/C++, C# Delphi Visual Basic.NET Java C/C++, Java Development libraries:.dll,.so files ActiveX components/ocx files Demo application, sample codes for each programming language Neural network controller Comprehensive digital documentation on CD Technical specifications are subject to change without prior notice. This document does not constitute an offer. Address: US Highway 19 North, Suite 324, Clearwater, Florida Phone: +1 (727) Fax: +1 (727) sendinfo@adaptiverecognition.com

3 CARMEN Parking Software License Plate Recognition Software Library & SDK THE ULTIMATE RECOGNITION ENGINE FOR ACCESS CONTROL AND PARKING APPLICATIONS The CARMEN Parking is an economical version of the CARMEN Recognition Software family. CARMEN Parking is especially created to automatically extract and recognize License Plate numbers of vehicles which are stopped or slowed at a barrier. License plates are the most accepted and naturally identifiable means of motor vehicles in the world today. By automatically reading license plates, CCTV based applications, parking and access control systems gain precision and speed in data entry, logging, record keeping, security and parking management, and much more. CARMEN Parking reads the license plates from analogue imaging sources with the fastest and most accurate recognition rates possible. It provides country independent recognition as well as recognition of license plates written, not only in the Latin character alphabets, but also in Arabic, Cyrillic, Chinese, Korean, Thai and many more. Key features Automatic recognition of analogue input images of license plates from vehicles in slowed or stopped traffic Fast, easy and straightforward use Country, state or province and plate type recognition Country independent recognition including Latin, Arabic, Chinese, Korean, Thai characters and much more. main benefits Saving time and energy in data entry, automating license plate reading Decreasing data entry errors with high accuracy and recognition rates Eliminating the need for access control system users to have access cards or codes; centralizing registration Increasing security and safety of access control areas Special ANPR/LPR cameras are available for higher quality images and recognitions rates.

4 Specifications CARMEN Parking Software General information Purpose Supported operating systems Supported Platforms System requirements Licensing Available Neural Controllers Automatic recognition of vehicle license plates a license plate recognition software for parking, access control and similar low speed applications, where cars are slowed down or stopped by barriers Windows (32/64 bit) x86_32 x86_64 1 GHz CPU 512 MB RAM 1 GB HDD free slot for NNC One license per camera (lane), multiple license /controller is available PCI 2.1 video capture card (FXVD4) Interface Input Output Trigger Live video input from any analog camera connected to the FXVD4 frame grabber card OCR data License plate number in ASCII/UNICODE text Position of the plate Confidence level in percentage Confidence levels for each characters List of further suggestions for each character ID of the best image Color of plate (optional) Country ID (optional) Location of each plate on one image One vehicle can be identified in every 3 seconds per camera Can be integrated with any trigger device (mandatory to start the recognition) Software motion detection module is included Development tools for easy integration Supported programming languages under Windows In The Box C/C++, C# Delphi Visual Basic.NET Java Development libraries:.dll files ActiveX components/ocx files Demo application, sample codes for each programming language Neural network controller Comprehensive digital documentation on CD Technical specifications are subject to change without prior notice. This document does not constitute an offer. Address: US Highway 19 North, Suite 324, Clearwater, Florida Phone: +1 (727) Fax: +1 (727) sendinfo@adaptiverecognition.com

5 CARMEN Parking Digital Software License Plate Recognition Software Library & SDK THE ULTIMATE RECOGNITION ENGINE FOR ACCESS CONTROL AND PARKING APPLICATIONS The CARMEN Parking Digital is a cost-effective version of the CARMEN Recognition Software family. CARMEN Parking Digital is engineered to automatically read and decipher the License Plate numbers of stopped or extremely slow traveling vehicles. License plates are the most accepted and natural means of identification of motor vehicles globally. The ability to automatically recognize license plates with fast and exact accuracy provides digital (IP based) parking and access control systems with effortless security monitoring, parking management, fast data entry and record keeping, and much more. CARMEN Parking Digital reads the license plates from digital image sources with unparalleled accuracy and speed. It yields country independent recognition as well as recognition of license plates written, not only in the Latin character alphabets, but also in Arabic, Cyrillic, Chinese, Korean, Thai and many more. Key features Automatic reading of any image input source or IP camera images of license plates of vehicles in slowed or stopped traffic Fast, easy and straightforward use Hardware independence: compatible with any image source (analogue / digital / still images / MJPEG video streams) Country, state or province and plate type recognition main benefits Saving time and energy in data entry, automating license plate reading Decreasing data entry errors with high accuracy and recognition rates Eliminating the need for access control system users to have access cards or codes; centralizing registration Increasing security and safety of access control areas Special ANPR/LPR cameras are available for higher quality images and recognitions rates.

6 Specifications CARMEN Parking Digital Software General information Purpose Supported operating systems Supported Platforms System requirements Licensing Available Neural Controllers Automatic recognition of vehicle license plates a license plate recognition software for parking, access control and similar low speed applications, where cars are slowed down or stopped by barriers Windows (32/64 bit) Linux (32/64 bit) x86_32 x86_64 1 GHz CPU 512 MB RAM 1 GB HDD free port/slot for NNC One license per application thread, multiple license/controller is available PCI 2.1 video capture card (FXVD4) PCI 2.1 card (FXMC) PCIe card (x1) USB 2.0 (internal is also available) Express card 34 (54 compatible) PC 104+ card Interface Input Output Trigger Still image from file or memory in any image format ( BMP PNG JPEG JPEG2K RAW ) Live analog video input (PAL or NTSC) Live digital camera input OCR data License plate number in ASCII/UNICODE text Position of the plate Confidence level in percentage ID of the best image Color of plate (optional) Country ID (optional) Location of each plate on one image One vehicle can be identified in every 3 seconds per camera Can be integrated with any trigger device (mandatory to start the recognition) Software motion detection module is included Development tools for easy integration Supported programming languages under Windows Supported programming languages under Linux In The Box C/C++, C# Delphi Visual Basic.NET Java C/C++, Java Development libraries:.dll,.so files ActiveX components/ocx files Sample codes for each programming language Neural network controller Comprehensive digital documentation on CD Technical specifications are subject to change without prior notice. This document does not constitute an offer. Address: US Highway 19 North, Suite 324, Clearwater, Florida Phone: +1 (727) Fax: +1 (727) sendinfo@adaptiverecognition.com

7 CARMEN ACCR Software ISO Container Code Recognition Software Library & SDK THE ULTIMATE RECOGNITION ENGINE FOR INTELLIGENT LOGISTICS APPLICATIONS The CARMEN Automatic Container Code Recognition (CARMEN ACCR) software is a dedicated version of the CARMEN Recognition Software family. CARMEN ACCR is created to extract and read the Container Codes of ISO containers. The ISO Container Code defined by the ISO 6346 international standard is the primary identification number of intermodal (shipping) containers. This code tells the owner and the type/category of the container as well as the unique serial number of it. The capability of reading the ISO container codes of shipping containers makes harbor, port, and logistic environments much more intelligent. The CARMEN ACCR software can help to build comprehensive databases of traffic movement, automate and simplify airport, railways or harbors, manage border control inventory and container surveillance systems. The CARMEN ACCR reads the unique ISO Container Codes from digital still images, digital image flow or live video signal. The unique serial number with check digit, the owner, the country code, the size, type and equipment category as well as operational marks (if any) of every cargo container are returned with the highest accuracy available in the market. Key features Automatic recognition of ISO6346 (BIC), MOCO (MOntan COntainer) and dimension codes Fast, easy and straightforward use Hardware independence: compatible with any image source (e.g. analogue or digital cameras; line scanners) Identification of both vertical and horizontal aligned codes main benefits Saving time and energy in data entry, automating ISO6346/ MOCO code reading Decreasing data entry errors with high accuracy and recognition rates Increasing security and safety of transport units Allowing smooth and problem-free 24/7 operation Special ACCR cameras are available for higher quality images and recognition rates.

8 Specifications CARMEN ACCR Software General information Purpose Supported operating systems Supported Platforms System requirements Licensing Available Neural Controllers Automatic recognition of the container codes a ISO container code recognition software for logistic systems (railway, marine, harbors and airports), supporting ISO 6346 (BIC code) and MOCO code Windows (32/64 bit) Linux (32/64 bit) x86_32 x86_64 1 GHz CPU 512 MB RAM 1 GB HDD free port/slot for NNC One license per application thread, multiple license/controller is available PCI 2.1 video capture card (FXVD4) PCI 2.1 card (FXMC) PCIe card (x1) USB 2.0 (internal is also available) Express card 34 (54 compatible) PC 104+ card Interface Input Output Trigger Still image from file or memory in any image format ( BMP PNG JPEG JPEG2K RAW ) Live analog video input (PAL or NTSC) Live digital camera input OCR data ISO Container code in ASCII text Position of the code Confidence level in percentage Confidence levels for each characters ID of the best image Country ID and dimension information (optional) Can be integrated with any trigger device (recommended when recognizing from live image stream) Software motion detection module is included Development tools for easy integration Supported programming languages under Windows Supported programming languages under Linux In The Box C/C++, C# Delphi Visual Basic.NET Java C/C++, Java Development libraries:.dll,.so files ActiveX components/ocx files Demo application, sample codes for each programming language Neural network controller Comprehensive digital documentation on CD Technical specifications are subject to change without prior notice. This document does not constitute an offer. Address: US Highway 19 North, Suite 324, Clearwater, Florida Phone: +1 (727) Fax: +1 (727) sendinfo@adaptiverecognition.com

9 CARMEN ADR Software ADR/HIN (Kemler) Code Recognition Software Library & SDK THE ULTIMATE RECOGNITION ENGINE FOR INTELLIGENT TRAFFIC APPLICATIONS The CARMEN Automatic Dangerous Goods Recognition (CARMEN ADR) software is a special version of the CARMEN Recognition Software family. CARMEN ADR is developed to recognize and decipher the Hazard Identification Numbers (Kemler codes) of vehicles carrying hazardous materials. Transport units and vehicles carrying dangerous, hazardous materials must bear a well visible plate that gives information about the carried material. This plate is called the ADR plate which contains the Hazard Identification Number, or HIN (the Kemler Code) of the carried dangerous material. Reading the HIN number a traffic monitoring or safety system becomes highly automated, and therefore maintains more safety on roads, tunnels, bridges, etc. while transporting these dangerous elements. CARMEN ADR identifies the materials being carried which gives emergency responders the ability to reference the information on the codes to quickly identify a material s hazards. The CARMEN ADR software successfully recognizes the three figures of HIN codes on transport vehicles, from a variety of image sources offering great flexibility. Manufacturers and integrators of various recognition systems will receive the special HIN code reading indicating the primary and secondary hazards with the most efficiency and reliability. Key features Automatic reading of hazard identification numbers HIN (Kemler Code) Fast, easy and straightforward use Hardware independence: compatible with any image source (analogue / digital / still images / MJPEG video streams) Identification even of blank or empty plates main benefits Saving time and energy in data entry, automating ADR (HIN) code reading Decreasing data entry errors with high accuracy and recognition rates Increasing security and safety of transport units Allowing smooth and problem-free 24/7 operation Special ADR cameras are available for higher quality images and recognition rates.

10 Specifications CARMEN ADR Software General information Purpose Supported operating systems Supported Platforms System requirements Licensing Available Neural Controllers Automatic recognition of hazard identification numbers HIN/Kemler code recognition software for various intelligent traffic systems to enhance safety of traffic and roads Windows (32/64 bit) Linux (32/64 bit) x86_32 x86_64 ARMv7 1 GHz CPU 512 MB RAM 1 GB HDD free port/slot for NNC One license per application thread, multiple license/controller is available PCI 2.1 video capture card (FXVD4) PCI 2.1 card (FXMC) PCIe card (x1) USB 2.0 (internal is also available) Express card 34 (54 compatible) PC 104+ card Interface Input Output Trigger Still image from file or memory in any image format ( BMP PNG JPEG JPEG2K RAW ) Live analog video input (PAL or NTSC) Live digital camera input OCR data Hazard identification number in ASCII text Position of the plate Confidence level in percentage Confidence levels for each characters List of further suggestions for each character Individual result for each image Color of plate (optional) Location of each plate on one image Can be integrated with any trigger device (recommended when recognizing from live image stream) Software motion detection module is included Development tools for easy integration Supported programming languages under Windows Supported programming languages under Linux In The Box C/C++, C# Delphi Visual Basic.NET Java C/C++, Java Development libraries:.dll,.so files ActiveX components/ocx files Demo application, sample codes for each programming language Neural network controller Comprehensive digital documentation on CD Technical specifications are subject to change without prior notice. This document does not constitute an offer. Address: US Highway 19 North, Suite 324, Clearwater, Florida Phone: +1 (727) Fax: +1 (727) sendinfo@adaptiverecognition.com

11 CARMEN DOT Software USDOT (DOT) Number Recognition Software Library & SDK THE ULTIMATE RECOGNITION ENGINE FOR INTELLIGENT TRAFFIC APPLICATIONS The CARMEN DOT software is a specialized version of the CARMEN Recognition Software family. CARMEN DOT is engineered to extract and read the USDOT number of a CMV (Commercial Motor Vehicle) from captured images. All commercial vehicles in the USA shall have an unique identification number obtained from the Dept. Of Trans. This number is the USDOT (or DOT) number. CARMEN DOT brings US trucking and traffic systems automatic identification, tracking, and abilities to build complex databases and control inventory systems with high accuracy, speed and agility. CARMEN DOT enables traffic and security systems to automatically identify and verify commercial vehicles from a variety of image sources. Capable of collecting audit, inspection and compliance information, the software gives the DOT number, date, time and location for CMV systems to check against key information in state and federal databases in real time with the most accurate recognition rates available in today s market. Key features Automatic reading of USDOT numbers from CMVs Fast, easy and straightforward use Hardware independence: compatible with any image source (analogue / digital / still images / MJPEG video streams) main benefits Saving time and energy in data entry, automating USDOT number code reading Decreasing data entry errors with high accuracy and recognition rates Increasing security and safety of transport units Special USDOT cameras are available for higher quality images and recognition rates.

12 Specifications CARMEN DOT Software General information Purpose Supported operating systems Supported Platforms System requirements Licensing Available Neural Controllers Automatic recognition of US DOT codes of commercial motor vehicles - a USDOT number recognition software for various traffic and security systems to automatically identify and verify commercial vehicles. Windows (32/64 bit) Linux (32/64 bit) x86_32 x86_64 ARMv7 1 GHz CPU 512 MB RAM 1 GB HDD free port/slot for NNC One licence per application thread, multiple license/controller is available PCI 2.1 video capture card (FXVD4) PCI 2.1 card (FXMC) PCIe card (x1) USB 2.0 (internal is also available) Express card 34 (54 compatible) PC 104+ card Interface Input Output Trigger Still image from file or memory in any image format ( BMP PNG JPEG JPEG2K RAW ) Live analog video input (PAL or NTSC) Live digital camera input OCR data USDOT number in ASCII text Position of the USDOT number Confidence level in percentage Confidence levels for each characters List of further suggestions for each character Individual result for each image Can be integrated with any trigger device (recommended when recognizing from live image stream) Software motion detection module is included Development tools for easy integration Supported programming languages under Windows Supported programming languages under Linux In The Box C/C++, C# Delphi Visual Basic.NET Java C/C++, Java Development libraries:.dll,.so files ActiveX components/ocx files Demo application, sample codes for each programming language Neural network controller Comprehensive digital documentation on CD Technical specifications are subject to change without prior notice. This document does not constitute an offer. Address: US Highway 19 North, Suite 324, Clearwater, Florida Phone: +1 (727) Fax: +1 (727) sendinfo@adaptiverecognition.com