Detecting and Disabling Digital Cameras using Image Processing Techniques


G. Angelo Virgin,Balaji S,K.Subbulakshmi,John Paul Praveen A,



Camcorder,CCD,LED,Retro reflector,Hough Transform,


In this paper, we discuss about the equipment has the ability to recognize and disabling digital cameras. The camera is positioned and neutralized by the system CCD is the image sensor available in every camera which is retro reflective and transmits light back to its source at the same angle. Infrared light is emitted by the device which is not visible to human eye at a distance of about 20 feet. Camcorder is used to accumulate the video of reflection. Then the video of the reflections is transmitted to a computer connected to the equipment , where it is sent through imageprocessing algorithms that acquires infrared light bouncing back an invisible infrared laser is projected into the camera's lens once the camera is identified, thereby overexposing the photo and providing it useless. Digital camera are neutralized by low level IR lasers but are neither a health danger to homosapiens nor physical damage to cameras. We review the simplified design of the device that can utilized in theatres to block piracy. The research areas being covered here are optics and image processing.


I. Arjun Venugopal, Antony Vibin, Gokul Raj, Surekha Mariam Varghese, Ani Sunny,” International Research Journal (IRJET),Vol.:5, Issue: 5, pp.2813
II. C. P. Reshma Chand, J. Dheeba, “Automatic Detection of Exudates in Color Fundus Retinopathy Images”, Indian Journal of Science and Technology, Vol. 8 issue 26, pp. 566
III. Debajit Sensarma, Samar SenSarma, “A Survey on Different Graph Based Anomaly Detection Techniques”, Indian Journal of Science and Technology, Vol:8,issue.31 ,Nov2015
IV. J. Manasa, J.T. Pramod, S.A.K. Jilani, S. Javeed Hussain, “Real Time Object Counting using Raspberry pi”, International Journal of Advanced Research in Computer and Communication Engineering, vol. 4, no. 7, July 2015.
V. K. H. Hemalatha, G. Babu, R. Sivakumar, “Lesion Area Detection (LAD) using Super pixel Segmentation”, Indian Journal of Science and Technology, Vol. 8 Issue 15, July2015
VI. P. Sujatha, K. K. Sudha, “Performance Analysis of Different Edge Detection Techniques for Image Segmentation”, Indian Journal of Science and Technology, Vol:8,issue 14 ,July 2015
VII. Panth Shah, TithiVyas, “Interfacing of MATLAB with Arduino for Object Detection Algorithm Implementation using Serial
Communication”, International Journal of Engineering Research & Technology (IJERT), vol. 3, no. 10, pp. 1069-1071, Oct 2014.

View | Download