Abstract
In recent years, computer vision technology has made significant progress, expanding its application from simple image recognition tasks to complex real-world problems. One such area where computer vision promises to be is the control of manipulators in various fields such as manufacturing, healthcare and robotics. Manipulators, mechanical arms designed to perform tasks, are traditionally controlled using manual input or a preprogrammed sequence. The purpose of this manuscript is to research and analyze computer vision applicable to improve the control and efficiency of manipulators.