3b238e271970461e6db4849 20250526085441656 beie:beie director@blueeyesintelligence.org WEB-FORM International Journal of Innovative Technology and Exploring Engineering IJITEE 22783075 10.35940/ijitee https://www.ijitee.org/ 05 30 2025 14 6 Department of Electrical Engineering, Jorhat Engineering College, Jorhat (Assam), India. Priyankush Kaushik Baruah https://orcid.org/0009-0002-9253-0676 Dr. Pranabjyoti Haloi https://orcid.org/0000-0002-8986-5267 Associate Professor, Department of Electrical Engineering, Jorhat Engineering College, Jorhat (Assam), India. This study presents an automated license plate detection and recognition system, combining YOLOv10 for Realtime object detection and Tesseract OCR for robust text extraction. The methodology involves training a customised YOLOv10 model on annotated vehicle datasets to localize license plates, followed by region-of-interest (ROI) filtering to enhance accuracy. Detected plates are processed with Tesseract OCR to convert visual data into machine-readable text. Evaluated using precision, recall, and inference speed metrics, the system achieves 97% detection accuracy and real-time performance, demonstrating reliability in automated vehicle identification tasks such as traffic monitoring. This work underscores the synergy of YOLOv10’s detection efficiency and Tesseract’s OCR capabilities, offering a scalable solution for intelligent transportation systems. 06 30 2025 05 30 2025 20 26 CC-BY-NC-ND 4.0 10.35940/BEIESP.CrossMarkPolicy www.ijitee.org true International Journal of Innovative Technology and Exploring Engineering (IJITEE) Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) Based on my understanding, this article has no conflicts of interest. This article has not been sponsored or funded by any organization or agency. The independence of this research is a crucial factor in affirming its impartiality, as it has been conducted without any external sway. The data provided in this article is exempt from the requirement for ethical approval or participant consent. The adequate resources of this article are publicly accessible. The authorship of this article is contributed equally to all participating individuals. 10.35940/ijitee.E1083.14060525 https://www.ijitee.org/portfolio-item/E108314050425/