Abstract
The aim of this paper is to fully automate the manual process of fine generation over crossroads. A video recorder needs to be set on crossroads and focused over the area which is not meant to be crossed when the red light is ON. Thus, the vehicles breaching this rule will be recorded. This video has to be browsed into the designed system and will be processed to various image processing algorithms for getting the region of interest, which is the number-plate of the vehicle breaching the rule. The detected number-plate would be cropped from the image and would be segmented internally by every character. The obtained string of number-plate would be queried to a database in order to obtain all the information about a vehicle’s owner. Using this information, E-memo will be sent through the system to the vehicle’s owner in the form of text message and Email.
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Monil, S., Ketan, B., Dhruvkumar, P., Narendra, P., Prashant, S. (2021). Automatic Traffic Fine Generation Using Deep Learning. In: Kotecha, K., Piuri, V., Shah, H., Patel, R. (eds) Data Science and Intelligent Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 52. Springer, Singapore. https://doi.org/10.1007/978-981-15-4474-3_53
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DOI: https://doi.org/10.1007/978-981-15-4474-3_53
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