A theoretical model, representing the sensor based sheet for machines, in object detection/perception

In this paper, we have introduced the framework of a virtual theoretical model representing, combination of a number of different overcrowded sensors mainly consist of commonly used sensors e.g. ultra sonic, Infra red and laser range finders etc, on a designed sheet; for algorithm testing and development in human machine interaction based academic research. By using a number of different sensors with different combinations, we can get an idea about the environment in front of that sheet, and by using softwares, we can turn the feedback given by the sensors to an image, or even know certain sets of information about the objects placed in front of it. We can also get a slightly better idea about the challenging part in perception based design, that is, edge detection. This paper also provides a detailed possible applications part for this sensor-based sheet with a major example on Futuristic feedback-giving skin in machines like robots etc, and the way it can work as an additional tool for the computer sciences along with the previously held computer vision tool. The effectiveness of the work is appreciated throughout the explanation segments with concentration on real as well as virtual world mapping. As an effective possible addition to vision-based systems, this paper also discuss the impact of energy losses; as a drawback, due to the noise addition to the system, with the major reason as the use of sensors in a bigger numbers. Similar nature problems are discussed in the final segments.