CITRIC: A low-bandwidth wireless camera network platform

Abstract

In this paper, we propose and demonstrate a novel wireless camera network system, called CITRIC. The core component of this system is a new hardware platform that integrates a camera, a frequency-scalable (up to 624 MHz) CPU, 16 MB FLASH, and 64 MB RAM onto a single device. The device then connects with a standard sensor network mote to form a camera mote. The design enables in-network processing of images to reduce communication requirements, which has traditionally been high in existing camera networks with centralized processing. We also propose a back-end client/server architecture to provide a user interface to the system and support further centralized processing for higher-level applications. Our camera mote enables a wider variety of distributed pattern recognition applications than traditional platforms because it provides more computing power and tighter integration of physical components while still consuming relatively little power. Furthermore, the mote easily integrates with existing low-bandwidth sensor networks because it can communicate over the IEEE 802.15.4 protocol with other sensor network platforms. We demonstrate our system on three applications: image compression, target tracking, and camera localization.

A Survey of Image Compression Algorithms for Visual Sensor Networks

“…The suggested algorithm seems very efficient to be applied in power-constrained applications such as VSN. The unique work adopting CS paradigm in the context of VSN is that one developed in [96], where both CS and JPEG are used for compression purpose. No details about the CS scheme are furnished in [96].…”

Power Management in Sensing Subsystem of Wireless Multimedia Sensor Networks

“…The assumption of fixed lenses is based on the current WMSN platforms (Tavli et al, 2011). Almost all of them (SensEye, MicrelEye, CITRIC, Panoptes, Meerkats) (Kulkarni et al, 2005;Kerhat et al, 2007;Chen et al, 2008;Feng et al, 2005;Margi et al, 2006) have fixed lenses and only high powered PTZ cameras have movement capabilities. We consider a monitor area with N wireless multimedia sensors, represented by the set S = {S 1 ,S 2 ,...,S N } randomly deployed.…”

Power consumption and performance analysis of object tracking and event detection with wireless embedded smart cameras

“…The wireless embedded smart camera platform [5] we use consists of a camera board and a wireless mote, and is shown in Fig. 1.…”

“…Each camera in this system is a CITRIC mote [5] that consists of a camera board and a wireless mote. The microprocessor on the camera board is a fixed-point processor with a maximum speed of 624MHz and 256KB of internal SRAM.…”