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There are frequent traffic law violations in India, which happens to be one of the most populated countries in the world. Traffic is disrupted due to these traffic violations. In addition, these violations of traffic rule can cause a very serious threat to the safety of road travelers. In India, two wheelers are being used in maximum numbers because of their comparatively low cost and ease to use. But People often violate these traffic rules by, say for example, not wearing a helmet while riding a motorbike. As a result, a very large number of accidents occur in India which often results in human casualty and loss of property. We propose a new system titled ”SMART VEHICLE SEUCRITY AND TRAFFIC RULES VIOLATION DETECTION SYSTEM” . This system detects motorcycle riders violating traffic rules with the help of image processing and real time surveillance. Initially, our system identifies exactly the motorcycle riders among the various vehicles passing on the road, by means of techniques such as background subtraction and object segmentation. It makes it easy to separate out and identify bike riders quickly. We, in our system use object classifier algorithm which differentiate between those riders following the traffic rules and those violating the same. This classifier will play an important role to identify traffic rule violation incidences such as riders not wearing a helmet riders engaged in triple seat riding. By detecting these traffic rule violations, we intend to make roads more safe for all users of it. This proposed system has many advantages like it will cut down the workload of already heavily loaded traffic control authorities. The system captures evidence of traffic rule violations through real time surveillance videos which can be used for imposing fines on traffic rule violators. This system also promotes a culture of following traffic rules. It also contributes towards reduction in accidents which can save lives and property.
Keywords:
Traffic Law Violation, Vehicle Security, Image Processing, Object Classifier, Real Time Surveillance.
Cite Article:
"Smart vehicle security and traffic rules violation detection system", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.9, Issue 2, page no.12 - 18, February-2024, Available :http://www.ijrti.org/papers/IJRTI2402003.pdf
Downloads:
000205099
ISSN:
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator