Ceramic tiles classification using OpenCV under Embedded Linux

Abstract

The proposed project consists in developing a real-time system for automatic inspection of moving ceramic tiles and detection and identification of their surface defects at high-speed using OpenCV and FPGA HPS. Based on vision techniques, the system will consist of a lighting device (LEDs) and a LDR to provide the suitable lighting environment, camera, and embedded Linux running on FPGA DE10 board to create an image processing hardware and software environment. It will allow the visualization of the surface and by means of a data base, it will detect and proceed to the identification of the defects of surface during the production cycle. This process classifies ceramic tiles automatically and allows for making the necessary corrections in due time.