This developed software integrated in mobiles by the cross compilation of Qt and the OpenCV software for Linux Operating system. The application (GUI) Graphical User Interface was designed using Qt and ARM Linux gcc Integrated Development Environment (IDE) for implementing image processing algorithm using Open Source Computer Vision Library (OpenCV). This paper presents the capture of an image from the USB camera, applied to image processing algorithms to Detect Human Upper Body. This environment provides the resources available in the operating system which runs on the hardware with complex image processing libraries. To resolve the problems faced by the image processing applications in embedded Device a new application environment was developed. An open software framework, Linux OS is used in embedded devices to provide a good starting point for developing the multitasking kernel, integrated with communication protocols, data management and graphical user interface for reducing the total development time. Currently, achieving real-time image processing routines such as convolution, thresholding, edge detection and some of the complex media applications is a challenging task in embedded Device, because of limited memory. & Tech., Vadodara, IndiaĪbstract: In this Paper, A novel architecture for automotive vision using an embedded device will be implemented on ARM9 Board with highly computing capabilities and low processing power. Kalpesh R Jadav2 1,2Įlectronics and Comm.
2014), PP 73-79 Implementation of Embedded ARM9 Platform using Qt And openCV For Human Upper Body Detection Krunal Shantilal Patel1, Prof. IOSR Journal of Electronics and Communication Engineering (IOSR-JECE) e-ISSN: 2278-2834,p- ISSN: 2278-8735.Volume 9, Issue 2, Ver.