Abstract
Smart video surveillance is a IOT-based application as it uses Internet for various purposes. The proposed system intimates about the presence of any person in the premises, also providing more security by recording the activity of that person. While leaving the premises, user activates the system by entering password. System working starts with detection of motion refining to human detection followed by counting human in the room and human presence also gets notified to neighbor by turning on alarm. In addition, notification about the same is send to user through SMS and e-mail. The proposed system’s hardware implementation is supported by Raspberry Pi and Arduino board; on the other hand, software is given by OpenCV (for video surveillance) and GSM module (for SMS alert and e-mail notification). Apart from security aspect, system is intelligent enough to optimize power consumption wastage if user forgets to switch off any electronic appliances by customizing coding with specific appliances.
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References
Md. Syadus Sefat, Abdullah Al Mamun Khan, Md. Shahjahan “Implementation of vision based intelligent home automation and security system”, 3rd INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION 2014.
F. Bartolini, V. Cappellini and A. Mecocci, Counting people getting in and out of a bus by real time image-sequence processing, Image and Vision Computing, vol. 12, no. 1, Jan. 1994, pp. 36–41.
A. Albiol, I. Mora and V. Naranjo, Real-time high density people counter using morphological tools, IEEETrans. Intelligent Transportation Systems, vol. 2, no. 4, Dec. 2001, pp. 204–218.
M. Rossi and A. Bozzoli, Tracking and counting moving people, IEEE International Conference on Image Processing (ICIP), vol. 3, 1994, pp. 212–216.
G. Sexton, X. Zhang and G. Redpath, Advances in automatic counting of pedestrians, 1995 European Convention on Security and Detection (ECSD95), 1995, pp. 106–110.
K. Terada, D. Yoshida, S. Oe and J. Yamaguchi, A method of counting the passing people by using the stereo images, IEEE International Conference on Image Processing (ICIP), vol. 2, 1999, pp. 338–342.
O. Masoud and N. P. Papanikolopoulos, A novel method for tracking and counting pedestrians in real-time using a single camera, IEEE Trans. Vehicular Technology, vol. 50, no. 5, Sep. 2001, pp. 1267–1278.
J. W. Kim, K. S. Choi, B. D. Choi and S. J. Ko, Real-time vision-based people counting system for security door, International Technical Conference on Circuits/Systems Computers and Communications, 2002, pp. 1416–1419.
J. Bescos, J. M. Menendez and N. Garcia, DCT based segmentation applied to a scalable zenithal people counter, IEEE International Conference on Image Processing (ICIP), vol. 3, 2003, pp. 1005–1008.
T. H. Chen and C. W. Hsu, An automatic bi-Directional passing-people counting method based on color-image processing, 37th IEEE International Carnahan Conference on Security Technology, Taiwan, Oct. 2003, pp. 200–207.
KaewTraKulPong P, Bowden R. An improved adaptive background mixture model for real-time tracking with shadow detection Proceedings 2nd European Workshop on Advanced Video Based Surveillance Systems (AVBS 2001), Kingston, UK, September 2001 3rd INTERNATIONAL CONFERENCE ON INFORMATICS, ELECTRONICS & VISION.
Khot Harish S, Gote Swati R, Khatal Sonali B, Pandarge Sangmesh Smart Video Surveillance, IJ EERT Volume 3, Issue 1, January 2015, PP 109–112 ISSN 2349-4395 (Print) & ISSN 2349-4409 (Online).
U. RAMAKRISHNA, N. SWATHI: Design and Implementation of an IoT Based Smart Security Surveillance System, IJSETR ISSN 2319–8885 Vol. 05, Issue. 04, February-2016, Pages: 0697–0702.
Akshada Deshmukh, 2 Harshalata Wadaskar, 3 Leena Zade, 4Neha Dhakate, 5 Preetee Karmore: Webcam Based Intelligent Surveillance System, IJES Vol. 2, 8 March 2013, Pp 38–42 Issn(e): 2278-4721, Issn(p):2319-6483.
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Gulve, S.P., Khoje, S.A., Pardeshi, P. (2017). Implementation of IoT-Based Smart Video Surveillance System. In: Behera, H., Mohapatra, D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, vol 556. Springer, Singapore. https://doi.org/10.1007/978-981-10-3874-7_73
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DOI: https://doi.org/10.1007/978-981-10-3874-7_73
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