Auto Detection of Number Plate of Person without Helmet

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Shanmugaraj.S et al.

Abstract

Automated Number Plate Recognition organization would greatly enhance the ability of police to detect criminal commotion that involves the use of motor vehicles. Automatic video investigation from traffic surveillance cameras is a fast-emerging field based on workstation vision techniques. It is a key technology to public safety, intelligent transport system (ITS) and for efficient administration of traffic without wearing helmet. In recent years, there has been an increased scope for involuntary analysis of traffic activity. It defines video analytics as computer-vision-based supervision algorithms and systems to extract contextual information from video. In traffic circumstancesnumeroussupervise objectives can be continue by the application of computer vision and pattern gratitude techniques, including the recognition of traffic violations (e.g., illegal turns and one-way streets) and the classification of road users (e.g., vehicles, motorbikes, and pedestrians). Currently most reliable approach is through the acknowledgment of number plates, i.e., automatic number plate recognition (ANPR).

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How to Cite
Shanmugaraj.S et al. “Auto Detection of Number Plate of Person Without Helmet”. International Journal on Recent and Innovation Trends in Computing and Communication, vol. 7, no. 3, Mar. 2019, pp. 21-24, doi:10.17762/ijritcc.v7i3.5252.
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