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Secure Dual-mode Robotic Intrusion Detection System for Remote Surveillance
Oluyemi Ebunoluwa Adetoyi, Faith O. Olawoyin
Pages - 1 - 8     |    Revised - 31-03-2021     |    Published - 30-04-2021
Volume - 10   Issue - 1    |    Publication Date - April 2021  Table of Contents
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KEYWORDS
Video Surveillance, Live Streaming, Robotics, Security Camera, Obstacle Avoidance, MJPEG.
ABSTRACT
Remote video surveillance has become an integral part of premise monitoring in urban society, due to the menace of intruders. There have been various surveillance system implementations, but there is no one that fits all applications. Poor stream rate, security, and propriety issues are the major limitations of these systems. To this extent, a low complexity surveillance system that blends the three factors in a good mix is being presented in this work. A non-propriety, medium-rate MJPEG compression format was employed by the pi-camera to provide a good transmission rate and low storage requirement. The robot controller was linked to the monitoring web page through the Common Gateway Interface (CGI) protocol to provide a dynamic update of the page for real-time monitoring and analysis. The robotic movement of the system was achieved using two dc motors and a caster arranged as a differential wheel system. A combination of obstacle detection and avoidance system makes autonomous robot movement possible. The system test results show good robot navigation with obstacle avoidance and low-latency video streaming. The implemented secure shell protocol ensures secure video transmission.
1 refSeek 
2 BibSonomy 
3 Doc Player 
4 J-Gate 
5 Scribd 
6 SlideShare 
A. Ben Mabrouk, E. Zagrouba, Abnormal behavior recognition for intelligent video surveillance systems: A review, Expert Syst. Appl. 91 (2018) 480–491. https://doi.org/10.1016/j.eswa.2017.09.029.
A.F.I. Ibrahimy, F. Anwar, M.I. Ibrahimy, M.R. Islam, Two Dimensional Array based Overlay Network for Reducing Delay of Peer-to-Peer Live Video Streaming, in: Int. Conf. Comput. Commun. Eng., IEEE, Kuala Lumpur, Malaysia, 2014: pp. 185–188. https://doi.org/10.1109/ICCCE.2014.61.
E. Cermeño, A. Pérez, J.A. Sigüenza, Intelligent video surveillance beyond robust background modeling, Expert Syst. Appl. 91 (2018) 138–149. https://doi.org/10.1016/j.eswa.2017.08.052.
G. Xu, X. Xu, X. Xing, B. Cai, C. Qing, Multi-invariance Appearance Model for Object Tracking, (2015) 347–351.
G.O.E. Abdalla, T. Veeramanikandasamy, Implementation of spy robot for a surveillance system using Internet protocol of Raspberry Pi, in: IEEE Int. Conf. Recent Trends Electron. Inf. Commun. Technol. Proc., IEEE, Bangalore, India, 2017: pp. 86–89. https://doi.org/10.1109/RTEICT.2017.8256563.
H. Kim, S. Lee, Y. Kim, S. Lee, D. Lee, J. Ju, H. Myung, Weighted joint-based human behavior recognition algorithm using only depth information for low-cost intelligent video-surveillance system, Expert Syst. Appl. 45 (2016) 131–141. https://doi.org/10.1016/j.eswa.2015.09.035.
H. Zeng, N. Peng, Z. Yu, Z. Gu, Visual Tracking Using Multi-Channel Correlation Filters, 2 (2015) 211–214.
J.H. Shim, Y.I. Cho, A mobile robot localization via indoor fixed remote surveillance cameras, Sensors (Switzerland). 16 (2016) 1–13. https://doi.org/10.3390/s16020195.
J.L. Castro, M. Delgado, J. Medina, M.D. Ruiz-Lozano, Intelligent surveillance system with integration of heterogeneous information for intrusion detection, Expert Syst. Appl. 38 (2011) 11182–11192. https://doi.org/10.1016/j.eswa.2011.02.165.
K. Kim, S. Bae, K. Huh, Intelligent surveillance and security robot systems, Proc. IEEE Work. Adv. Robot. Its Soc. Impacts, ARSO. (2010) 70–73. https://doi.org/10.1109/ARSO.2010.5679624.
L. Rodríguez-gil, J. García-zubia, S. Member, P. Orduña, D. López-de-ipiña, An Open and Scalable Web-Based Interactive Live-Streaming architecture : The WILSP Platform, 5 (2017).
M.J. Gómez, F. García, D. Martín, A. De La Escalera, J.M. Armingol, Intelligent surveillance of indoor environments based on computer vision and 3D point cloud fusion, Expert Syst. Appl. 42 (2015) 8156–8171. https://doi.org/10.1016/j.eswa.2015.06.026.
M.T. Nguyen, L.H. Truong, T.T. Tran, C.F. Chien, Artificial intelligence based data processing algorithm for video surveillance to empower industry 3.5, Comput. Ind. Eng. 148 (2020). https://doi.org/10.1016/j.cie.2020.106671.
P. Rea, E. Ottaviano, Design and development of an Inspection Robotic System for indoor applications, Robot. Comput. Integr. Manuf. 49 (2018) 143–151. https://doi.org/10.1016/j.rcim.2017.06.005.
R. Harshitha, M.H.S. Hussain, Surveillance robot using raspberry Pi and IoT, in: Int. Confere1nce Des. Innov. 3Cs Comput. Commun. Control. ICDI3C, IEEE, Bangalore, India, 2018: pp. 46–51. https://doi.org/10.1109/ICDI3C.2018.00018.
R.D. Cajote, Framework of Surveillance Video Analysis and Transmission System using Background Modeling and MIMO-OFDM, (2015) 1071–1075.
S. Meghana, T. V. Nikhil, R. Murali, S. Sanjana, R. Vidhya, K.J. Mohammed, Design and implementation of surveillance robot for outdoor security, in: 2nd IEEE Int. Conf. Recent Trends Electron. Inf. Commun. Technol. Proc., IEEE, Bangalore, India, 2017: pp. 1679–1682. https://doi.org/10.1109/RTEICT.2017.8256885.
T. Inatsuki, M. Matsuura, K. Morinaga, H. Tsutsui, Y. Miyanaga, An FPGA Implementation of Low-latency Video Transmission System Using Lossless and Near-lossless Line-based Compression, (2015) 1062–1066.
X. Xing, F. Qiu, X. Xu, C. Qing, A New Real-time Robust Object Tracking Method, (2015) 1126–1129.
Dr. Oluyemi Ebunoluwa Adetoyi
Faculty of Technology, University of Ibadan, Ibadan, 200282 - Nigeria
yemi.ade.oe@gmail.com
Mr. Faith O. Olawoyin
Faculty of Technology, University of Ibadan, Ibadan, 200282 - Nigeria