Detection of driver's mobile phone usage
College
Gokongwei College of Engineering
Department/Unit
Electronics And Communications Engg
Document Type
Conference Proceeding
Source Title
HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management
Volume
2018-January
First Page
1
Last Page
4
Publication Date
1-24-2018
Abstract
While driving, mobile phone usage is dangerous that it may cause traffic accident. Detection and proof of usage should be done by a system. Anti-Distracted Driving Act that became a law last August 1, 2016 will now be enforced starting May 18, 2017 in the Philippines. So drivers may get penalized if they use mobile phone while driving. On this study it is intended to develop a neural network application that can detect mobile phone usage. Sample pictures used for the system training and testing. Positive pictures and negative pictures were used to train the Cascade Object Detector on MATLAB. © 2017 IEEE.
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Digitial Object Identifier (DOI)
10.1109/HNICEM.2017.8269509
Recommended Citation
Yasar, H. (2018). Detection of driver's mobile phone usage. HNICEM 2017 - 9th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, 2018-January, 1-4. https://doi.org/10.1109/HNICEM.2017.8269509
Disciplines
Electrical and Computer Engineering | Systems and Communications
Keywords
Image converters; Cell phones and traffic accidents--Philippines; Motor vehicle drivers--Philippines; Neural networks (Computer science)
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