Two Wheeler Helmet and License Plate Detection
| dc.contributor.author | Himanshu Prasad 1NH20CE017; Ishita Chauhan 1NH20CE018; Sumeetkumar Savadatti 1NH20CE051; Vishwathika M 1NH20CE062 | |
| dc.date.accessioned | 2025-05-31T09:17:54Z | |
| dc.date.available | 2025-05-31T09:17:54Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | Road safety is a pressing global concern due to the substantial human and economic losses resulting from traffic accidents. As the world's population continues to grow, urbanize, and embrace diverse modes of transportation, there is an increasing demand for innovative solutions to address road safety challenges. Technology integration into road safety strategies holds significant potential for reducing accident rates, saving lives, and enhancing transportation efficiency. The convergence of cutting-edge innovations and road safety initiatives remains a cornerstone in building a safer and more sustainable future for our global road networks as technology advances. By integrating license plate recognition with two-wheeler helmet detection, this intelligent system aims to provide a comprehensive solution for enhancing law enforcement and traffic safety. The presented work showcases an innovative and highly efficient two-wheeler helmet and license plate detection system that leverages the synergistic integration of three cutting-edge technologies: YOLOv8 for object detection, k-means clustering for character segmentation, and optical character recognition (OCR) for text interpretation. This system represents a significant leap forward in the realm of helmet and license plate recognition, elevating road safety standards while simultaneously enhancing transportation efficiency. The proposed solution plays a crucial role in ensuring compliance with critical traffic regulations, particularly the mandatory requirement for two-wheeler riders to wear protective helmets. By autonomously detecting violations, such as riders operating without helmets, the system can generate fines automatically, alleviating the manual workload on traffic enforcement personnel. This technology-driven enforcement approach not only promotes responsible riding behaviors but also contributes to the broader mission of mitigating road accidents and preserving lives. Overall, this innovative solution represents a significant stride towards cultivating safer roadways, fostering a culture of road safety and law-abiding practices among all road users nationwide, while simultaneously paving the way for continued technological advancements in the field of automated license plate recognition. | |
| dc.identifier.uri | http://192.168.75.5:4000/handle/123456789/19181 | |
| dc.language.iso | en | |
| dc.publisher | NHCE | |
| dc.title | Two Wheeler Helmet and License Plate Detection | |
| dc.type | Learning Object |