SWAPN: A dream tool for the visually challenged

In this paper, we propose and assess SWAPN, a useful, novel and intelligent dream tool to study the impending multimedia technologies and to help the visually challenged as well as aged persons to overcome their disabilities. Recently, there were many research studies conducted related to human-machine systems available to help visually challenged people to reassure themselves to the outside world as normal individuals. We also propose a novel methodology to explore the uses of multimedia tools using Image Sensor, Camera, Laser Sensor, Inductive Proximity Sensor and Hand-held device to develop a ubiquitous environment to model the Human Computer Interaction (HCI) system. This methodology embraces the advantage of present Smartphone technology to help the people who are visually challenged from birth and also the aged persons who suffer from either full or partial vision loss. The newly introduced features like motion detection and feature extraction capabilities of SWAPN are assessed by realizing the implementation of machine-to-machine features for the modest usage. We have also inherited the usage of social networking for the visually challenged. Often more useful features like warning detection systems which notify the user the present weather conditions and inform for sudden changes in temperatures also been included.