Helmet detection using Deep Learning Matlab

 

Helmet detection using Deep Learning Matlab

Abstract -

Two-wheeler is the most popular modes of transport. Also, it is proved that one of every five bike riders who died on roads were not wearing helmet. This paper proposed a method for motorcycle detection and classification, helmet detection and license plate recognition to detect and identify the motorcyclists without helmet and report it to concerned authorities. Support Vector Machine (SVM) is used for vehicle classification. For helmet detection, CNN algorithms are applied to extract the image attributes, and the SVM classifier is used to classify the objects. For License plate Recognition, Optical Character Recognition (OCR) algorithm is used. The Simple Message Service (SMS) is sent to the helmet rule violators. The results are stored in the Database for further actions.

INTRODUCTION

Head injuries are the leading cause of death and major trauma for two- and three-wheel motor vehicle users. Travel on a motorcycle carries and a much higher risk of injury or death than driving a car. In 2016, the risk of and fatal crash was 28 times greater than that of automobiles. About 75% of accidents involve motorcycle and passenger vehicle, while the rest 25% of accidents were motorcycle accidents. Correct helmet use can lead to a 42% reduction in the risk of fatal injuries and 69% reduction in the risk of head injuries.

In India, the highest rate of deaths due to the motorcycle rider without a helmet is reported in Tamil Nadu. The number of accidents recorded in Tamil Nadu is 24 percent. Tamil Nadu is followed by Uttar Pradesh where the death toll of such riders was 4,406 (12.25 percent). Maharashtra holds third place with 4,369 deaths and Madhya Pradesh with 3,183 deaths. Meghalaya and Mizoram were the only two states where no motorcycle user without a helmet died.

The Global status on road safety highlights that the number of annual road traffic fatal count has reached 1.35 million in the year 2018 [2] . On analyzing the statistics provided by the ministry, India Today Data Intelligence Unit (DIU) has found that of all the road accidents that took place in 2017, motorcycle accidents were the worst. In 2017, more than 48,746 two-wheeler users died in road accidents. Out of that 73.8 percent of them were not wearing a helmet. This means that every hour, for two-wheeler users who died in and road accident did not wear a helmet.

NOTE:-

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Though there are severe fines and laws imposed for helmet violations, most of the motorcyclists do not wear the helmet properly. This may lead to fatal accidents of the motorcyclists, passengers and even pedestrians. According to the report issued by Bangalore Traffic Police, within 24 hours an amount of Rs.20, 55,200 were collected as fine from 1,274 cases [4] . An increase in the motorcycle count there is an increase in the violation of the rules. There is the least possibility of imposing fine on each motorcyclist violating the traffic rules due to the shortage of manpower and technology implemented. The fatal percentage for motorcycle riders not wearing a helmet was the highest in Jharkhand - 52.33 percent. This means out of every two road accidents a two-wheeler rider did not wear a helmet.

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