Zigbee Image Transmission for Detecting and Tracking Multi Color Moving Object

Objective: To design and implement a Zigbee Imaging system to track and detect the multi colored moving objects using Additive color model technique. Analysis: Digital image processing methods like Segmentation, background subtraction and point detectors are very popular and prominently used in the object detecting and tracking from live streaming frame sequences. These methods require high computing systems to process the data in real time. Methodology: To overcome such constraints, we implement the low cost IEEE 802.15.4 Zigbee based Image Processing System. This system can process and transmit the images efficiently even in Dynamic environment conditions. In this paper, we illustrate Zigbee Imaging system functionality at sensitive places of observation. Finding/Improvements: We implement our proposed system with a Low cost CMOS color camera and Advanced RISC processor, which are used for supporting the Zigbee imaging system in detecting and tracking the objects. The system operates at 30 fps with resolution 88x144.This system can detect and track 8 objects at a time in the camera field view and transmits the tracked information to the host system with wireless Technology 802.15.4 Zigbee. The Experimental results of Prototype system to image sequences are also figured.