Detection of driver's mobile phone usage

• Main Author: Yasar, Hayrullah
• Format: text
• Published: Animo Repository 2018
• Subjects: Image converters; Cell phones and traffic accidents > Philippines; Motor vehicle drivers > Philippines; Neural networks (Computer science); Electrical and Computer Engineering; Systems and Communications
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/2527; https://animorepository.dlsu.edu.ph/context/faculty_research/article/3526/type/native/viewcontent
• Institution: De La Salle University

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.