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Privacy Preserving Smartphone Camera Tracking Using Support Vector Machines

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DOI: 10.23977/jipta.2021.41001 | Downloads: 35 | Views: 1864


Q. Memon 1, K. Al Shanqiti 1, A. Al Falasi 1, A. Al Jaberi 1, Y. Amer 1


1 UAE University

Corresponding Author

Q. Memon


Due to easy access to recent hand-held technologies, privacy concern has also increased. One most common and prevalent form of privacy and intellectual property breach nowadays is use of smartphone camera. This work reflects an attempt for privacy protection in smartphone environment. The potential contribution from this study is to disable smartphone camera temporarily by tracking it. The key parts of the approach are camera lens detection and tracking in upper body area, and then disabling it. The detection stage involves camera calibration followed by image processing steps conducted on captured environment frame for camera lens detection using either by database search or support vector machines applied on published data of smartphone camera lenses. The disabling process is enabled using safe-to-environment laser(s) controlled by a hardware interface. For tests, an experimental system is built, and results show improvement in tracking using support vector machines with performance error less than 0.5%.


Camera detection; Camera tracking; Camera blocking; Privacy, Security; Machine Learning


Q. Memon, K. Al Shanqiti, A. Al Falasi, A. Al Jaberi, Y. Amer, Privacy Preserving Smartphone Camera Tracking Using Support Vector Machines. Journal of Image Processing Theory and Applications (2021) Vol. 4: 1-12. DOI:


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