2012 ©
             Publication
Journal Publication
Research Title Automatic helmet-wearing detection for law enforcement using CCTV cameras 
Date of Distribution 12 April 2018 
Conference
     Title of the Conference 2nd International Conference on Sustainable Development of Civil, Urban and Transportation Engineering Conference  
     Organiser Ton Duc Thang University. 
     Conference Place Ton Duc Thang University. 
     Province/State Ho Chi Minh City/ Vietnam  
     Conference Date 17 April 2018 
     To 19 April 2018 
Proceeding Paper
     Volume 143 
     Issue
     Page 1-8 
     Editors/edition/publisher IOP Conference Series: Earth and Environmental Science (EES)  
     Abstract The objective of this research is to develop an application for enforcing helmet wearing using CCTV cameras. The developed application aims to help law enforcement by police, and eventually resulting in changing risk behaviours and consequently reducing the number of accidents and its severity. Conceptually, the application software implemented using C++ language and OpenCV library uses two different angle of view CCTV cameras. Video frames recorded by the wide-angle CCTV camera are used to detect motorcyclists. If any motorcyclist without helmet is found, then the zoomed (narrow-angle) CCTV is activated to capture image of the violating motorcyclist and the motorcycle license plate in real time. Captured images are managed by database implemented using MySQL for ticket issuing. The results show that the developed program is able to detect 81% of motorcyclists on various motorcycle types during daytime and night-time. The validation results reveal that the program achieves 74% accuracy in detecting the motorcyclist without helmet. 
Author
595040018-6 Mr. PASIT WONGHABUT [Main Author]
Engineering Master's Degree
597040005-9 Mr. JETSADA KUMPHONG
Engineering Doctoral Degree

Peer Review Status มีผู้ประเมินอิสระ 
Level of Conference นานาชาติ 
Type of Proceeding Full paper 
Type of Presentation Oral 
Part of thesis true 
Presentation awarding false 
Attach file
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