VEHICLE ALLOWANCE SYSTEM USING IMPROVED YOLO ALGORITHM

International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

In this era of technology, automation everything is becoming smart using technologies like artificial intelligence and machine learning. There are certain rules for every university, especially for the parking section. The basic rule is that, for those who want to park their cars in the university, they should pay fees. There are some conventional techniques to check the allowance of the vehicle, one of them is by checking manually, but this a time- consuming process and also leads to an easy chance of proxy allowance. Hence there is a requirement of developing a smart system which reduces the manual work of security guards, time and also the chance of proxy. This automated system can be achieved using a recognition system along with some suitable hardware and software. Therefore, there is a need to develop Automatic Number Plate Recognition (ANPR) system as a one of the solutions to this problem. There are numerous ANPR systems available today. These systems are based on different methodologies but still it is really challenging task as some of the factors like high speed of vehicle, non-uniform vehicle number plate, language of vehicle number and different lighting conditions can affect a lot in the overall recognition rate.

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Keywords