OCR SOFTWARE FOR US DOT NUMBER RECOGNITION
CARMEN® DOTis engineered to extract and recognize the DOT numbers of commercial motor vehicles from captured images. It provides trucking and traffic systems with automatic identification and tracking features. Carmen® DOT allows the creation of 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. With its ability to collect and audit inspection and compliance information, the software offers the DOT number, date, time and location for CMV systems to verify key information in state and federal databases in real time with the most accurate recognition rates available in today's market.
- CARMEN® DOT offers:
- High accuracy and industry leading high recognition rates
- Increased security and safety of passenger and haul transport
- Smooth and problem-free 24/7 operation
- Easy integration through SDK and user-friendly API
CARMEN® DOT provides solution for common problems by:
- Automating DOT code reading that saves time and resources
- Allowing faster, more accurate tracking of commercial vehicles
- Increasing safety on the roads, by aiding investigations, inspections and audits
CARMEN® DOT is ideal for:
- Accident investigation authorities
- Interstate highways, terminal and harbor traffic security system operators
- Inspection, audit and compliance review companies or authorities
- Business intelligence and real-time road safety analytics
CARMEN® DOT offers the advantage with its ability to automatically read DOT numbers on commercial vehicles, while adapting to environmental changes for 24/7 operation. It is fast and easy with straightforward use with any hardware, compatible with any image source (analog / digital / still images / MJPEG video streams) and supports both Windows and Linux platforms. Its development libraries (DLL, SO) allow flexible integration through their SDK, and in server mode CARMEN® DOT is able to perform parallel processing and handling of unlimited camera inputs.
GENERAL INFORMATION Purpose Automatic recognition of USDOT codes of commercial motor vehicles – a USDOT number recognition software for various traffic and security systems to automatically identify and verify commercial vehicles. Supported operating systems Windows (32/64 bit) Linux (32/64 bit) Supported platforms x86_32 | x86_64 | ARMv7 Minimum system requirements 1 GHz CPU | 512 MB | 1 GB HDD | free port/slot for NNC Licensing One licence per application thread, multiple license/controller is available Available neural network controllers USB 2.0 – type A USB – internal, 4 pin PCIe card (x1) mini-PCIe card (x1)(new!) INTERFACE Input 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 Output 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 Trigger Can be integrated with any trigger device (recommended when recognizing from live image stream) Software motion detection module is included DEVELOPMENT TOOLS Supported programming languages under Windows C/C++, C# Visual Basic .NET Java Supported programming languages under Linux C/C++, Java In the box Development libraries: .dll, .so files Demo application, sample codes for each progamming 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.
What is a USDOT Number?
US companies operating commercial vehicles to transport passengers or haul cargo in interstate commerce need to be registered with the Federal Motor Carrier Safety Administration (FMCSA) and must have a USDOT identifier. Similarly, commercial intrastate carriers who transport certain types and certain quantities of hazardous materials that require a safety permit must register for a USDOT Number.
USDOT number serves as a unique identifier to check a company's safety information during audits, compliance reviews, road accidents and inspections.
DOT number recognition
CARMEN® DOT offers automatic recognition of USDOT numbers on commercial vehicles with the highest accuracy and recognition rates in the industry.
The image source can either be analog, digital or IP cameras – CARMEN® DOT accepts still images or MJPEG video streams as well. By adding illumination to the cameras, the software is able to adapt to the environmental changes for a smooth 24/7 operation. It is fast, easy and straightforward to use.
Arriving in a form of an SDK, its development libraries (DLL, SO) allow flexible integration on both Windows and Linux platforms. In server mode CARMEN® DOT is able to perform parallel processing and handling of unlimited camera inputs.
LINKS & DOWNLOADS CARMEN® DOT SOFTWARE BROCHURE Product description in PDF CARMEN® SOFTWARE VERSIONS A comprehensive review of all CARMEN® software versions ARH PRODUCT CATALOG Comprehensive brochure showcasing all of our traffic, license plate recognition, passport, travel document, ID reader and biometric (AFS/AFIS) products
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DOT NUMBER RECOGNITION SOFTWARE LIBRARY AND SDK
|The dedicated OCR engine greatly assists in the management of container or freight logistic tasks and in the surveillance of transporter movements.||Cameras combined with OCR engine placed at the entrances and exits of tunnels can provide live updates regarding the movement of commercial vehicles.||Effective OCR can simplify border surveillance of commercial vehicle movement in all environments and even in fast-moving traffic.|
|Processed OCR data coming from roaming or fix camera can provide ITS with live information about the position of commercial vehicles in traffic, congestions or accidents.||The OCR engine’s SDK allows easy integration with any database or management network.||The software can provide ITS or other patrol cars with live OCR-based surveillance updates about the transport of freight or shipping containers.|