Abstract
With the rapid development of the embedded system, semiconductor technology and Image processing, the embedded Image processing has found widespread acceptance in mobile applications like video streaming, smart cameras, target tracking, vehicle navigation, smart traffic light systems and Biometrics. The implementation of image processing algorithms is computationally intensive and resource exhaustive. The system engineer has a mandate to optimize these algorithms so as to meet real time deadlines on an embedded processor. The designed system implements different real time image processing algorithms such as LPF, HPF, Threshoding, Template Matching on WINDOWS-XP and verified on WINDOWS 7 using Microsoft Visual Studio IDE VC++, further algorithms are implemented on Linux real time operating system(RTOS). The system uses the code optimization method to improve execution time for Viola Jones face detection algorithm. The design and implementation of real time image inspection system is based on the BeagleBoard-xM, a low cost ARM processor. This approach reduces size, efficiency, cost, time and power consumption etc. for Industrial control system based on real time image inspection system.
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