MeshEye: A Hybrid-Resolution Smart Camera Mote for Applications in Distributed Intelligent Surveillance

Abstract

INTRODUCTIONSurveillance is one of the promising applications to which smart Distributed smart cameras have received increased focus in the camera motes forming a vision-enabled network can add research community over the past several months. The notion of increasing levels of intelligence. We see a high degree of in-node cameras combined with embedded computation power and processing in combination with distributed reasoning algorithms interconnected through radio links opens up a new realm of as the key enablers for such intelligent surveillance systems. To intelligent vision-enabled applications. Real-time image put these systems into practice still requires a considerable processing and distributed reasoning made possible by smart amount of research ranging from mote architectures, pixelcameras can not only enhance existing applications but also processing algorithms, up to distributed reasoning engines. This motivate new applications. Potential application areas range from paper introduces MeshEye, an energy-efficient smart camera home monitoring, elderly care, and smart environments to mote architecture that has been designed with intelligent security and surveillance in public or corporate buildings. Critical surveillance as the target application in mind. Special attention is issues influencing the success of smart camera deployments for given to MeshEye's unique vision system: a low-resolution stereo such applications include reliable and robust operation with as vision system continuously determines position, range, and size of little maintenance as possible. moving objects entering its field of view. This information triggers a color camera module to acquire a high-resolution image ncmpaisonito alar sensors, shsm r e pess sub-array cotinn th obet whic ca.eefiinl humidity, velocity, and acceleration sensors, vision sensors pub-arocessedainysubseq stae I t offer redced complextly generate much higher bandwidth data due to the two-dimensional processed in subsequent stages. It offers reduced complexity, naueothipxlary.Tesermutofawda response~~~~~~~tie.n oe osmto vrcnetoa nature of their pixel array. The sheer amount of raw data soons. Bic vnd aorith or obec detecntional generated precludes it from human analysis in many applications. aquition. Ban trcion ar desribed and illustratedtonrHence distributed intelligent algorithms supported by in-node world data. The paper alsoprsents a. basicpo er odelt image processing are required to successfully operate scalable networks of wireless smart cameras. We see the combination of estimates lifetime of our smart camera mote in battery-powered local processing and distributed reasoning as the key challenge in operation for intelligent surveillance event processing. making intelligent vision-enabled applications a reality. As outlined in [1]-[3], local processing calls for adequate low-level

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