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Using SPRL Smart Camera in Wireless Sensor Network for Video Analysis
Abstract
Surveillance is one of the most promising applications for wireless sensor networks, stimulated by a confluence of simultaneous advances in key disciplines: computer vision, image sensors, embedded computing, energy harvesting, and sensor networks. Thus, wireless smart cameras pose a challenge to current hardware capabilities in terms of low-power consumption and high imaging performance. Recent advances in micro-electromechanical systems, embedded computing, and low-power radio communication technology have sparked the advent of massively distributed wireless sensor networks (WSNs). The key advantage of WSNs is the ability to bridge the gap between physical and logical world by collecting and sending useful information to devices that have the computational resources to process it. The main aim of this work is to achieve to develop energy efficient smart camera with high accuracy abandoned/removed object detection capability and to achieve combining local processing, low power hardware design, power management and energy harvesting to develop a low-power, low-cost and self-sustainable wireless video sensor node for video processing on board.
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References
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