MOVEMENT DETECTION SYSTEM USING CRIO AND LABVIEW

Abstract

Motion detection is the principal entity from scientific to house-hold applications such as burglar detection system, automatic lights ON / OFF based on person’s presence, parking ticket sys-tems, closing or opening of a door by determining the proximity or distance of objects and the door, emergency air bag systems in vehicles etc. Motion detection involves identifying the object of interest and determines if the target objects have been displaced from its previous position or not. The current paper touches upon image noise filtering techniques of mean, median and Gaussian filter. Object movement detection mechanism of back-ground subtraction and absolute difference method is explored. The paper describes how real-time video in Lab VIEW is pro-cessed and interfaced with cRIO chassis and digital output mod-ule NI 9472 to indicate end user whenever object movement is detected. The embedded processor at the core of cRIO allows communication with external devices. cRIO is a programmable device that can be interfaced with Analog and Digital I/O devices. Ethernet cable is used to exchange data between cRIO chassis and host computer. NI 9472 is a digital output module specifically designed for cRIO or compact DAQ chassis which has up to 8 channels.