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Title: Device to improve the safety of taxi users and drivers applying face detection
Authors: Jeszs D. Quintero-Polanco, Andris F. Charry-Moreno, Oscar M. Torrente Barragan.
Journal: ARPN Journal of Engineering and Applied Sciences
Publisher: Khyber Medical College, Peshawar
Country: Pakistan
Year: 2022
Volume: 17
Issue: 1
Language: English
The prototype implements a system of facial detection developed in Phyton with OpenCVs framework and a pre-trained convolutional neuronal web to identify the exact moment in which one or more users aboard the taxi; during this time some pictures of users and taxi drivers faces are captured in different amounts of time and are restored in a MySQL data base of a web server. There was a development of a mobile app on Android studio that allows users to observe the taxi driver information, and at the same time, to observe the outline of the route in real time which is also restored in the data base. It was developed a web platform that register or updated taxi drivers information and inquiry the register of different services developed by the taxi driver in case that there is an unusual situation.
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