Using Computer Webcam as a Surveillance Device

Current line of Surveillance devices aims for ergonomics and hardware features but lack in software intelligence. Many of the current surveillance devices gives support for attaching a storage which are aimed to store the footage for a month or two. when the storage starts to fill the software will also starts erasing the older recording. Which leads to loss of data set aside the inefficient way of storing the data at first place. This project utilizes Python allows user to add several useful features such as motion detection, record on motion detection, intruder alarm, live feed over network, etc.

Keywords

Webcam Computer Vision OpenCV Python Motion Detection Surveillance System.

References

G. T. Duanchun ZHOU, “Network Video Capture and Short Message Service Alarm System Design Based on Embedded Linux,” International Conference on Natural Computation (ICNC 2010), vol. 3, no. 3, 2013.
W. L. Y. S. X. Yiqiu, “A Wireless Video Surveillance System based on 3G Network,” Conference on Environmental Science andInformation Application Technology.
T. &. G. E... 8. 2.-2. 1. Moeslund, “A Survey of Computer Vision-Based Human Motion Capture.,” Computer Vision and Image Understanding, pp. 231-268.
M. P. J. Ashby, “The Value of CCTV Surveillance Cameras as an Investigative Tool: An Empirical Analysis,” European Journal on Criminal Policy and Research volume, pp. 441-459, 2017.
M. M. M. Zoltán Balogh, “Motion Detection and Face Recognition using Raspberry Pi, as a Part of, the Internet of Things,” Acta Polytechnica Hungarica, vol. 16, no. 3, 2019.
. K. J. L. R. X. J. Chaudhary, ““Introduction to the special issue on computer vision in road safety and intelligent traffic,”,” Eurasip Journal on Image and Video Processing, no. 2017.
M. Piccardi, “Background subtraction techniques: a review,” IEEE International Conference on Systems, Man and Cybernetics, 2004.
J. Y. a. J. m. Odobez, “ Multi-layer background subtraction based on color and texture,” IEEE Computer Vision and Pattern Recognition Conference (CVPR), Minneapolis, MN, USA, no. 2007, pp. 1 - 8.
a. P. Nava Jeevan Raju, “VIDEO MONITORING AND MOTION DETECTION SYSTEM BASED ON ARM-LINUX PLATFORM AND HTTP PROTOCOL WITH SMS CAPABILITY,” International Journal of Development Research, vol. 4, no. 4, pp. 840-843, 2014
A. SAĞLAM, “Adaptive Camera Tamper Detection For Video Surviellance,” etd.lib.metu.edu.tr, p. 54, 2009.
A. S. a. A. Temizel, “Real-time Adaptive Camera Tamper Detection for Video Surveillance,” Advanced Video and Signal Based Surveillance, 2009.
S. T. PLC, “Video Surveillance Storage: How Much Is Enough?,” [Online]. Available: https://www.seagate.com/in/en/solutions/surveillance/how-much-video-surveillance-storage-is-enough/.

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How to Cite

Mohd Rafey, Kamalraj R, Meeramani N . (2021). Using Computer Webcam as a Surveillance Device. IITM Journal of Management and IT, 12(1`), 44-49.

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IITM Journal of Management and IT

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P-ISSN 2349-9826

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[1] G. T. Duanchun ZHOU, “Network Video Capture and Short Message Service Alarm System Design Based on Embedded Linux,” International Conference on Natural Computation (ICNC 2010), vol. 3, no. 3, 2013.

[2] W. L. Y. S. X. Yiqiu, “A Wireless Video Surveillance System based on 3G Network,” Conference on Environmental Science andInformation Application Technology.

[3] T. &. G. E... 8. 2.-2. 1. Moeslund, “A Survey of Computer Vision-Based Human Motion Capture.,” Computer Vision and Image Understanding, pp. 231-268.

[4] M. P. J. Ashby, “The Value of CCTV Surveillance Cameras as an Investigative Tool: An Empirical Analysis,” European Journal on Criminal Policy and Research volume, pp. 441-459, 2017.

[5] M. M. M. Zoltán Balogh, “Motion Detection and Face Recognition using Raspberry Pi, as a Part of, the Internet of Things,” Acta Polytechnica Hungarica, vol. 16, no. 3, 2019.

[6] . K. J. L. R. X. J. Chaudhary, ““Introduction to the special issue on computer vision in road safety and intelligent traffic,”,” Eurasip Journal on Image and Video Processing, no. 2017.

[7] M. Piccardi, “Background subtraction techniques: a review,” IEEE International Conference on Systems, Man and Cybernetics, 2004.

[8] J. Y. a. J. m. Odobez, “ Multi-layer background subtraction based on color and texture,” IEEE Computer Vision and Pattern Recognition Conference (CVPR), Minneapolis, MN, USA, no. 2007, pp. 1 - 8.

[9] a. P. Nava Jeevan Raju, “VIDEO MONITORING AND MOTION DETECTION SYSTEM BASED ON ARM-LINUX PLATFORM AND HTTP PROTOCOL WITH SMS CAPABILITY,” International Journal of Development Research, vol. 4, no. 4, pp. 840-843, 2014

[10] A. SAĞLAM, “Adaptive Camera Tamper Detection For Video Surviellance,” etd.lib.metu.edu.tr, p. 54, 2009.

[11] A. S. a. A. Temizel, “Real-time Adaptive Camera Tamper Detection for Video Surveillance,” Advanced Video and Signal Based Surveillance, 2009.

[12] S. T. PLC, “Video Surveillance Storage: How Much Is Enough?,” [Online]. Available: https://www.seagate.com/in/en/solutions/surveillance/how-much-video-surveillance-storage-is-enough/.