Open AccessReal Time Video Analytics Based on Deep Learning and Big Data for Smart Station
Author(s) -
Fadhil Hidayat,
Faqih Hamami,
Iqbal Ahmad Dahlan,
Suhono Harso Supangkat,
Amar Fadillah,
Akbar Hidayatuloh
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1577/1/012019
Subject(s) - safer , computer science , big data , analytics , computer security , real time computing , human–computer interaction , data science , multimedia , data mining
CCTV is a sophisticated tool for monitoring and surveillance. It was chosen because of the low price and ease of use. CCTV creates issues in monitoring because officers must always supervise every CCTV monitor to look for abnormal conditions. This research proposes the implementation of smart CCTV for surveillance in Bandung Station. It applied deep learning algorithm to create smart CCTV for sensing and understanding station environment such as passengers’ flow, crowded area, prohibited location and others. Big data technologies are also carried out to solve the complexity of data. The objective of this research is to improve the quality of services in Bandung Station and make the station safer, more secure and more convenient.