System Security Camera

Computer Engineering

Closed circuit TV systems have recently become an indispensable part of daily life. Cameras are of vital importance as significant elements of security systems in different buildings such as houses, stores and shopping malls. IP technology contributed to the development of security systems which witnessed rapid improvements in terms of smart image analysis. Recent security camera systems with smart video analysis serve a vital purpose. This study focuses on designing a smart security camera system. Security is one of the most important things in our daily lives. Security camera systems have been introduced to keep us safe in shops, airports, downtowns, and other public spaces. Security cameras have infrared imaging modes for low-light conditions. However, infrared imaging sensitivity is low, and the quality of images recorded in low-light conditions is often poor as they do not always possess sufficient contrast and resolution; thus, infrared imaging devices produce blurry monochrome images and videos. A real-time nonlinear signal processing technique that improves the contrast and resolution of low-contrast infrared images and video is proposed. The proposed algorithm can be installed in a field programmable array. Although security issues of distributed smart cameras are analogous to networked embedded systems and sensor networks, emphasis is given to special requirements of smart camera networks, including privacy and continuous real-time operation.Using the concept of IOT and Machine learning this security system camera will recognize human ,gives recordings and also user can check the real time surveillance from his mobile and also get notifications through e-mail such that user maybe assured of any theft operation or risk factors going in the house.

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