Field programmable gate array based real-time vehicle number plate detection system for urban traffic monitoring applications, integrates deep learning-based object detection and optical character recognition for accurate and efficient identification of vehicles in high-traffic environments
	JAYESH N; MUHAMMED N S; MOHAMMED S V N; MATHEW M E; SLEEBA S Z
	2025-03-29
专利权人	JAYESH N (JAYE-Individual) ; MUHAMMED N S (MUHA-Individual) ; MOHAMMED S V N (MOHA-Individual) ; MATHEW M E (MATH-Individual) ; SLEEBA S Z (SLEE-Individual) ; RAJAGIRI ENG & TECHNOLOGY SCHOOL (RAJA-Non-standard)
申请日期	2025-03-29
专利号	IN202541030889-A
成果简介	NOVELTY - The system integrates deep learning-based object detection and optical character recognition (OCR) for accurate and efficient identification of vehicles in high-traffic environments. A YOLO deep learning model is implemented to detect vehicles and Haar Cascade classifiers are used for number plate localization. A pre-processing module enhances video frames by reducing noise for improving contrast, and extracting frames at optimized intervals for efficient processing. A vehicle classification module categorizes vehicles into different types, such as cars, lorries, motorcycles, and buses for enhanced enforcement and traffic analytics. USE - Field programmable gate array (FPGA) based real-time vehicle number plate detection system for urban traffic monitoring applications. ADVANTAGE - The system integrates real-time image processing, deep learning-based object detection, and secure data verification to improve traffic monitoring, regulatory enforcement, and overall transportation security. The system ensures that vehicle number plates can be detected, extracted, and verified with minimal latency and enhanced computational efficiency, making ideal for large-scale deployment in urban traffic monitoring systems by implementing the YOLO deep learning model on an FPGA platform.
IPC 分类号	G06N-003/08 ; G06V-010/82 ; G06V-020/62 ; G08G-001/017 ; G08G-001/054
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13371
专题	中国科学院新疆生态与地理研究所
作者单位	1.JAYESH N (JAYE-Individual) 2.MUHAMMED N S (MUHA-Individual) 3.MOHAMMED S V N (MOHA-Individual) 4.MATHEW M E (MATH-Individual) 5.SLEEBA S Z (SLEE-Individual) 6.RAJAGIRI ENG & TECHNOLOGY SCHOOL (RAJA-Non-standard)
推荐引用方式 GB/T 7714	JAYESH N,MUHAMMED N S,MOHAMMED S V N,et al. Field programmable gate array based real-time vehicle number plate detection system for urban traffic monitoring applications, integrates deep learning-based object detection and optical character recognition for accurate and efficient identification of vehicles in high-traffic environments. IN202541030889-A[P]. 2025.

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