Address-event image sensor network

Abstract

We describe a sensor network based on smart imager sensors able to extract events of interest from a scene. We present a framework towards the use of image sensors for realizing sensor networks that can interpret behaviors in physical space. An array of heterogeneous event-based CMOS imagers is employed at front-end, to convert light intensity, motion and other vision primitives into pulse-density modulated stream of address-events. The wireless nodes are Yale XYZ motes employing high data rate communication and large processing capabilities. Energy-aware communication is implemented at the sensor level by employing an event-based readout with pixel-level filtering capability. This paper provides an overview of the research challenges followed by a brief description of our current research efforts towards creating a functional experimental system for investigating these intelligent networks