Open AccessArtificial Intelligence Software Application for Contactless Traffic Violation Apprehension in the Philippines
Author(s) -
John Anthony C. Jose,
Ciprian D. Billones,
Allysa Kate M. Brillantes,
Robert Kerwin C. Billones,
Edwin Sybingco,
Elmer P. Dadios,
Alexis M. Fillone,
Laurence A. Gan Lim
Publication year - 2021
Publication title -
journal of advanced computational intelligence and intelligent informatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.172
H-Index - 20
eISSN - 1343-0130
pISSN - 1883-8014
DOI - 10.20965/jaciii.2021.p0410
Subject(s) - computer science , apprehension , visualization , software , license , graphical user interface , interface (matter) , computer security , artificial intelligence , operating system , psychology , cognitive psychology , bubble , maximum bubble pressure method
This paper presents a prototype of a centralized contactless traffic violation apprehension system composed of an artificial intelligence (AI) engine and a web application. The AI engine collects traffic data, primarily traffic violation data, through a contactless approach by using different video and image processing techniques and AI algorithms in its three modules: license plate detection, optical character recognition (OCR), and number coding violation detection. The web application consolidates all the data produced by the AI engine and provides a graphical user interface (GUI) for data management, visualization, and analysis. This contactless apprehension system aims to automate, standardize, and streamline the existing processes of law enforcement agencies and institutions for a more efficient apprehension of traffic violators and help them improve their traffic planning and management in the congested areas of the Philippines.