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<p>A Deep Learning Approach to Helmet Detection for Road Safety</p>

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Title Statement <p>A Deep Learning Approach to Helmet Detection for Road Safety</p>
 
Added Entry - Uncontrolled Name Choudhury, Tanupriya ; Dept of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India
Aggarwal, Archit ; Amity School of Engineering and Technology, Amity University, Uttar Pradesh, Noida, India
Tomar, Ravi ; Dept of Informatics, School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Uttarakhand, India
 
Uncontrolled Index Term Object detection; Traffic violations; Motor Vehicles; MobileNet; Tensorflow
 
Summary, etc. <p class="Abstract"><span lang="EN-GB">The rapid growth in the commute and vehicles has made exponential growth in the progress of mankind. This growth besides its positive aspects comes with a concern of saving life on road due to accidents. And, hence the technological advancements in the field of machine learning are required to cope up with the challenges such as road safety and traffic rule violations. According to the survey the majority of the life lost in road accidents is due to the negligence of wearing a helmet on a two wheeler vehicle. The enforcement of the traffic rules regarding this violation proves to be a challenge due to dense population and low rate of detection which is primarily caused by the lack of an automated system to detect the violation and take the necessary action. The growing population and the growing number of vehicles cause the manual systems in place to fail in curbing the issue. The recent advancements in Deep Learning and Image Processing provide an opportunity to solve this problem. This manuscript presents the implementation of a system which detects three objects namely the vehicle, non-usage of a helmet and the number plate of the vehicle under consideration using Tensorflow. Deep learning using the SSD MobileNet V2 is the primary technique used to implement the system. The system has been tested under different use cases with successful results.</span></p><br />
 
Publication, Distribution, Etc. Journal of Scientific and Industrial Research (JSIR)
2020-08-26 14:54:13
 
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http://op.niscair.res.in/index.php/JSIR/article/view/39579
 
Data Source Entry Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 79, ##issue.no## 06
 
Language Note en