Design and implementation of algorithm for images processing in embedded systems

Abstract

This project will develop a color recognition system, edge detection and red color monitoring by an artificial visión algorithm, to achieve this, it is taken in mind that the hardware used is an embedded system inexpensive and readily available, in this case is used the FPGA SPARTAN 3AN and RASPBERRY PI, the programming language used to create the algorithms are VHDL for FPGA and PYTHON for RASPBERRY PI.

In the acquiring process, the images are needed 2 camera kinds, its main feature is support for embedded systems used. Once acquired, the image thresholding and segmentation techniques are applied to the different existing methods take into account the gradient and the Sobel operator. To show the results in both cases are used ports each card. ín the FPGA case is configured video output and a VGA monitor is connecting to said output, and for Raspberry PI card will have multiple ports to show, it can access the card graphical interface via an HDMI port, Ethernet port and RCA port.