Surface Reading Model via Haptic Device: An Application Based on Internet of Things and Cloud Environment

In this research paper, we have implemented a computer program thanks to the XML language to sense the differences in image color depth by using haptic/tactile devices. With the use of “Bump Map” and tools such as “Autodesk’s 3D Studio Max”, “Adobe Photoshop”, and “Adobe Illustrator”, we were able to obtain the desired results. The haptic devices used for the experiments were the “PHANTOM Touch” and the “PHANTOM Omni R” of “3D Systems”. The programs that were installed and configured properly so as to model the surfaces, run the experiments, and finally achieve the desired goal are “H3D Api”, “Geomagic_OpenHaptics”, and “OpenHaptics_Developer_Edition”. The purpose of this project was to feel different textures, shapes, and objects in images by using a haptic device. The primary objective was to create a system from the ground up to render visuals on the screen and facilitate interaction with them via the haptic device. The main focus of this work is to propose a novel pattern of images that we can classify as different textures so that they can be identified by people with reduced vision.