A prototype node for wireless vision sensor network applications development

This paper presents a prototype vision-enabled sensor node based on a commercial vision system of reduced size and power consumption. The wireless infrastructure for the deployment of a distributed smart camera network based on these nodes is provided by commercial motes. The smart camera, based on a low-power bio-inspired processing scheme, enables in-node image processing and vision tools. This permits to elaborate a lighter representation of the scene, keeping the relevant information in terms of detected elements, features and events, alleviating the data transmission through the network. Therefore by passing only the relevant information to the neighboring sensor nodes, distributed and collaborative vision is possible with the limited data rates available in commercial wireless sensor networks. Communication between the different components of the system is supported by the available UARTs and GPIOs. Several examples of in-node image processing and feature detection has been tested in the prototype, and information at different abstraction levels has been broadcasted to the network.

[1]  Allen Y. Yang,et al.  CITRIC: A low-bandwidth wireless camera network platform , 2008, 2008 Second ACM/IEEE International Conference on Distributed Smart Cameras.

[2]  Bernhard Rinner,et al.  Distributed embedded smart cameras for surveillance applications , 2006, Computer.

[3]  Richard P. Kleihorst,et al.  Camera Mote with a High-Performance Parallel Processor for Real-Time Frame-Based Video Processing , 2007, 2007 First ACM/IEEE International Conference on Distributed Smart Cameras.

[4]  Ángel Rodríguez-Vázquez,et al.  The Eye-RIS CMOS Vision System , 2008 .

[5]  Sufen Fong,et al.  MeshEye: A Hybrid-Resolution Smart Camera Mote for Applications in Distributed Intelligent Surveillance , 2007, 2007 6th International Symposium on Information Processing in Sensor Networks.

[6]  Anthony Rowe,et al.  FireFly Mosaic: A Vision-Enabled Wireless Sensor Networking System , 2007, 28th IEEE International Real-Time Systems Symposium (RTSS 2007).

[7]  Lui Sha,et al.  The Simplex Reference Model: Limiting Fault-Propagation Due to Unreliable Components in Cyber-Physical System Architectures , 2007, RTSS 2007.

[8]  Badrinath Roysam,et al.  Image change detection algorithms: a systematic survey , 2005, IEEE Transactions on Image Processing.

[9]  Deborah Estrin,et al.  Cyclops: in situ image sensing and interpretation in wireless sensor networks , 2005, SenSys '05.

[10]  R. Masland The fundamental plan of the retina , 2001, Nature Neuroscience.

[11]  Zafer Sahinoglu,et al.  Image Transmission over IEEE 802 . 15 . 4 and ZigBee Networks , 2005 .

[12]  R.P. Kleihorst,et al.  Xetal-II: A 107 GOPS, 600 mW Massively Parallel Processor for Video Scene Analysis , 2008, IEEE Journal of Solid-State Circuits.