INTELLIGENT HELMET DETECTION USING OPEN CV AND MACHINE LEARNING

Authors

  • 1Divya Vani V Author
  • 2Veeranji Reddy N Author
  • 3Sushma Rani Datta Author
  • 4Ch.KanakaMahalakshmi Author

Abstract

As we all know Helmet is essential for our daily lives. Our brain is a crucial organ where it controls our thoughts, memory and emotions. In 2020 there were nearly 159,000 deaths due to on account of motor cycle riders not wearing a helmet. Concerning total percentage of road accidents two-wheelers constituted the highest proportion of 44.5% and the age group of persons involved in those tragedies are in-between 15 to 49 years. In this regard we want to curtail this risk and we have developed a project using Machine Learning and OPEN CV tools for Helmet Detection. We also use a camera module to detect the face of a person. The dataset is a set of images which is fed to the ML model and it processes it and outputs the real time status of the person/driver is wearing a helmet or not.By using YOLO algorithm, I created a predictive model that can be able to detect persons who are riding motorcycles without helmet in any condition.

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Published

2022-01-01

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Section

Articles

How to Cite

INTELLIGENT HELMET DETECTION USING OPEN CV AND MACHINE LEARNING. (2022). International Journal of Food and Nutritional Sciences, 11(10), 7150-7156. https://www.ijfans.org/index.php/Journal/article/view/11483