Faster RCNN Algorithm for Object Detection and Thereby provides a way for Tile Grading

Nowadays, each industry uses different kinds of smart appliances to make their day-to-day tasks easy. Because of the emergence of new technologies, one of those affected industries is the manufacturing industry which has a major concern about automating the manufacturing processes to provide quality-assured products on time. Among the production companies, tile manufacturing is facing a huge problem in the process of quality checking. Although the whole manufacturing process is automated, quality checking has a manual process. Because of the human involvement in this process, it occurs mistakes when it tries to do mass production based on the demand. So this study attempts on bringing a novel way for the existing manual tile grading mechanism using newer technology in deep learning, the object detection in the computer vision area to bring a novel outcome.