Carmen® OCR – Automatic USDOT & Chassis Number Recognition
Carmen® OCR for commercial vehicles is a powerful software tool designed to recognize USDOT numbers and chassis codes from still images. It automates the identification of trucks and trailers in traffic monitoring, border control, fleet tracking, and logistics security systems — reducing manual checks and increasing operational efficiency.
Using high-resolution images from roadside, mobile, or gate cameras, the engine extracts the full USDOT or chassis code with character-by-character confidence levels. The SDK supports both Windows and Linux systems and is compatible with x86 and ARM platforms. It integrates easily into existing infrastructure through C/C++, Java, C#, or Visual Basic .NET.
Key benefits:
- Recognizes USDOT and chassis numbers from vehicle surfaces
- Input: still images (BMP, PNG, JPEG, RAW)
- Output: ASCII text, position data, and per-character confidence
- Compatible with video triggers and automation systems
- Runs on Windows 64-bit and Linux 32/64-bit (x86 & ARM)
- Simple integration with demo apps, sample code, and libraries
- Neural Network Controller (NNC) support for enhanced speed
- Quarterly updates to maintain accuracy and compliance
Carmen® OCR delivers consistent, scalable recognition performance — ideal for transportation authorities, customs, and fleet managers needing to automate commercial vehicle code verification in real-world environments.