Pervasive Computing Of Smart Cameras

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This paper presents “Pervasive Computing in Smart Cameras” depicting its various applications and techniques used in those applications. Pervasive Computing is an outrageously growing trend in everyday embedded microprocessor objects that helps to communicate information between these objects. Pervasive computing devices are connected entirely and are available relentlessly. Smart cameras are embedded systems that perform involved video content study and only account detected events as a replacement for permanently streaming videos. Visual sensor networks (VSNs) are also a type of Pervasive networks since cameras are omnipresent by being embedded into everyday life objects such as a smartphone. VSNs aim at integrating smart cameras using pervasive computing with wireless sensor networks. Due to rapid changes in the VSN’s environment, a dynamic and online reconfiguration is highly needed. we introduce and evaluate a fast and distributed resource-aware reconfiguration algorithm. Our approach is based on simple optimization primitives to find good approximations and to keep the required data transfer in the VSN small. We analyze the communication complexity and compare the algorithm with a centralized configuration approach based on several scenarios with different complexity. Camera sensors have higher requirements concerning communication bandwidth and computing power than those typically used in wireless sensor network applications. Accordingly, power management is
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