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Using SPRL Smart Camera in Wireless Sensor Network for Video Analysis


Affiliations
1 Department of Computer Science, National University of Singapore, Singapore
     

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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. 


Keywords

Wireless Sensor Networks, Surveillance, Video Analysis Algorithm, Smart Camera.
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  • Using SPRL Smart Camera in Wireless Sensor Network for Video Analysis

Abstract Views: 151  |  PDF Views: 3

Authors

A. T. Inoue
Department of Computer Science, National University of Singapore, Singapore
V. Von Kaenel
Department of Computer Science, National University of Singapore, Singapore

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. 


Keywords


Wireless Sensor Networks, Surveillance, Video Analysis Algorithm, Smart Camera.