Humans possess the cognitive capacity to perceive and identify a diverse array of objects, ascertain their constituent elements, and discern differences among them. Nevertheless, machines are unable to accurately identify instances of protest or distinguish the specific characteristics of various things. As a result, using the utilization of mathematical computations and a range of distinctive strategies, we configured the machine to identify demonstrations characterized by geometric shapes like circles, rectangles, squares, and so forth. This study presents a methodology for extracting power motivation from an information image and subsequently employing Otsu’s approach to confine it, resulting in the acquisition of a dual image. The utilization of a salt and pepper filter in image processing for the purpose of noise reduction. Utilize the image filling strategy to complete the missing regions within the picture. Different methodologies for reorganizing objects according to their perceived conditions. The calculation endeavors involve multiple sets of data with varying structures and successfully identifies all of them.