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Smart Camera Architecture

• Stanford MeshEye Mote

  In this project an energy-efficient smart camera mote architecture is designed with intelligent surveillance as the target application in mind. Special attention is given to its unique vision system: a low-resolution stereo-vision system continuously determines position, range, and size of moving objects entering its field of view. This information triggers a color camera module to acquire a high-resolution image sub-array containing the object, which can be efficiently processed. Surveillance is one of the promising applications to which smart camera motes forming a vision-enabled network can add increasing levels of intelligence. We see a high degree of in-node processing in combination with distributed reasoning algorithms as the key enablers for such intelligent surveillance systems. To put these systems into practice still requires a considerable amount of research ranging from mote architectures, pixel-processing algorithms, up to distributed reasoning engines.

Photograph of a MeshEye prototype:

Photograph of the MeshEye mote:

WiSNAP

Download "Wireless image Sensor Network Application Platform" (WiSNAP) for Matlab-based algorithm development