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@article{172662,
        author = {Samiksha Paralikar and Shubhankar Thorat},
        title = {Detection of Sub Assets and Verification of Industrial Vehicles by Registered License Plate Using OpenCV},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {9},
        pages = {2949-2958},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=172662},
        abstract = {This paper presents an automated system for the refueling of industrial vehicles, emphasizing the detection of sub-assets (industrial vehicles), recording their time of arrival, and verifying the vehicle type using license plate information. The system incorporates OpenCV for real-time vehicle detection, Optical Character Recognition (OCR) to extract license plate details, and a cross-referencing mechanism with a pre-registered database to ensure precise vehicle type verification. By automating the vehicle identification and verification process, this system streamlines the refueling workflow, eliminating the need for manual data entry, reducing human errors, and significantly improving operational efficiency in industrial settings. Experiments performed on a diverse sample of industrial vehicles demonstrate high detection accuracy, robust OCR performance, and a high success rate in vehicle verification, highlighting the potential of the system for large-scale industrial applications.},
        keywords = {Automated vehicle detection, industrial vehicles, license plate recognition, Optical Character Recognition (OCR), OpenCV, real-time detection, vehicle type verification, database cross-referencing, operational efficiency, industrial automation.},
        month = {March},
        }