Abstract:
This article addresses automatic license plate recognizer as a key element of today’s fast trending
approaches used for smart city development. The deployment of heavy manual forces is the biggest challenge in the path of efficient execution of transportation rules in metro cities. In order to help the government in achieving this milestone, a thorough research helped in developing a product which could
very effectively and efficiently be used in the implementation of odd/even transport rule coined by the
NCT Government, Delhi. Automatic license plate recognition has become the latest trend in the management of contemporary urban and national street arrangements, and this latest trend has been blended
with programming in python to enable a handy product for the government to easily enable them to distinguish between the faulty and genuine vehicles without much need of manual forces. This article
throws light on the techniques used for making this product and the literature survey done on the previously existing techniques.
