Can a machine see? Is it worth seeing? Is machine vision similar to human vision? Before attempting to answer these questions, we must first define the vision. Machine vision or computer vision allows a machine to perform certain tasks that, in humans, require the use of the eyes. Is it possible for a machine to see, understand and interpret visual objects? Vision is something we, as humans, simply do effortlessly. However, it is not as simple as it seems. A human's ability to see requires a significant portion of the brain and many complex "computations" take place in our heads to "understand" what we are looking at. These calculations involve many complex parts like neurons and synapses and include chemical and electrical reactions. Additionally, we must use algorithms, complex equations, thinking, and other functions, many of which occur without explicit effort on our part. Since it is so difficult to fully understand how sight works in humans, it is not very surprising that it is even more difficult to replicate this sense in machines. The idea of ​​giving machines human sight has often been a topic of discussion in the past. half century. But it was only from 1955 and 1970 that scientists began to work on solving the problems of discontinuities, concavity and convexity of three-dimensional blocks, considered the necessary starting points for machine vision. This work was carried out primarily using "low-level" processing (Aloimonos 1249-1251). Low-level processing is the first of three levels into which vision is generally divided. Intermediate level and high level are the other two...... middle of paper......at the same level as human vision. Although this is a rough estimate, it highlights the complexity of machine vision. There is still a lot of progress to be made to improve the quality of vision. Many aspects of machine vision still need improvement, such as pixel analysis, color, and three-dimensional objects, but there are obviously many hurdles to overcome before we can achieve even a small portion of these goals. Giving machines “human” qualities remains difficult to achieve, which perhaps further underlines the uniqueness of man. Nevertheless, the advances already made will advance human technology in impressive ways. Whether machine vision is used to discover errors in reaction turbines or to automatically open a door, vision will help improve many problems and situations that already exist..