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Issue title: Fuzzy Logic based Decision Making
Guest editors: Erik Maehle, Norbert Stoll and Chao-Hsien Chu
Article type: Research Article
Authors: Bai, Yingmei
Affiliations: School of Leisure Management, Xi’an Eurasian College, Xi’an, Shaanxi 710000, China | E-mail: artificiallifes@sina.com
Correspondence: [*] Corresponding author: School of Leisure Management, Xi’an Eurasian College, Xi’an, Shaanxi 710000, China. E-mail: artificiallifes@sina.com.
Abstract: In order to reduce the red light behavior of pedestrians at urban intersections and reduce the traffic accidents caused by pedestrians’ red lights, this paper proposes a pedestrian red light automatic warning solution based on face recognition technology. The pedestrian red light automatic warning system based on face recognition mainly includes information collection module, facial feature recognition module and display exposure module. The system realizes pedestrian crossing automatic reminding function, pedestrian red light recording function, pedestrian red light exposure function, information inquiry function. Wait. The actual results show that the system has good stability and practicability, can effectively prevent pedestrians from red light behavior and reduce traffic accidents.
Keywords: Pedestrian red light, face detection, face recognition, automatic warning
DOI: 10.3233/JCM-191034
Journal: Journal of Computational Methods in Sciences and Engineering, vol. 19, no. S1, pp. 235-240, 2019
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