A Enhanced Novel Methodology for Checking Driver Eligibility and Vehicle Security Using Image Processing
Keywords:
Driver, RFID GSM, Zigbee, LicenseAbstract
Around the world, cars are becoming a more and more common form of transportation. Adolescents driving without proper identification is a serious reason for concern in our country because it leads to accidents. According to figures from the World Health Organization, Chennai has the highest traffic collisions of any Indian city over the past ten years, followed by Tamil Nadu. India has the highest fatality rate at 16.6 per 100,000 people. Many technologies have been developed to reduce accident rates and, on average, detect auto thefts based on accident and theft scenarios. Researchers take a number of safety precautions when using modern technologies like Clonally Selection Algorithms, Artificial Fish Swarm Algorithms, and Intelligent Car Security Systems. It is important to know the license plate numbers in order to identify the car theft. In this study, we examine a range of technologies that can help detect and prevent car burglaries and accidents. Currently, the basis of transportation in the modern world is road communication. Unauthorized driving and auto theft have grown to be serious issues in our nation as more people rely on their cars for transportation. The most popular technique for screening drivers is to pull over the car while it is in traffic and check their licenses. At rush hour, it worsens the congestion in the traffic. The vehicles in the traffic lane cannot all be checked by the traffic police. Similarly to this, it could be challenging to pin down the exact cause of an accident.
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