Digital Camera Authorization
Keywords:
Image Processing, Deep Learning, Neural Network.Abstract
In the modern world there are many situation where photography and videography are to be banned at certain places for various reasons. In places such as museums, court rooms, shopping malls, industries, defense areas, jeweler’s stores, theater etc. where maintaining secrecy is big issue, a new technique is required that could differentiate authorized and unauthorized camera and deactivate the fraud one. This paper proposes a technique for authorization of digital camera. Here a system that can be used to detect multiple unauthorized camera and deactivate them is used. This system can be used to authorize camera by assigning special symbol on device using glyph marks and use them at places. The system learns to differentiate unauthorized device by deep learning technology and detect them from real-time video feed using computer vision to locate its position and deactivate the camera by directing laser or IR light to the lens which will distort the image due to overexposure. The light does not interfere with camera’s operation and is harmless to camera user.
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