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Paper Details
Paper Title
Detecting Distracted Driving using Computer Vision
Authors
Rohit Misra
Abstract
The objective of this study is to investigate the usage of Artificial Intelligence and Computer Vision in the detection of distracted driving. The concept of supervised machine learning was utilized using Convolutional Neural Networks to develop an image classification model which analyzed and categorized images into 10 classes. Our algorithm accurately identifies the activity being performed in the image. A 5-layer convolutional neural network model was trained using a dataset of 22424 unique images. The model achieved an 81.5% accuracy.
Keywords- Artificial Intelligence, Computer Vision, Neural Networks, Supervised learning, Image Processing.
Publication Details
Unique Identification Number - IJEDR2004016Page Number(s) - 97-101Pubished in - Volume 8 | Issue 4 | December 2020DOI (Digital Object Identifier) - Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
Rohit Misra, "Detecting Distracted Driving using Computer Vision", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.8, Issue 4, pp.97-101, December 2020, Available at :http://www.ijedr.org/papers/IJEDR2004016.pdf
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