This master thesis is done at CrossControl, a company in the automation industry. A literature review was done covering state of the art technology of eye-tracking and gaze control and how it can be used in the automation industry. One purpose with the study was to indentify features important for an eye-tracker in automation applications. Findings suggests that there are no standard methods for measuring the performance of trackers and further that performance in regard to gaze control is limited by physiology of the eye rather than limitations of the devices. The differences between trackers are found in robustness when it comes to differences in people or conditions in the environment. A prototype was made for demonstration. The prototype was built on equipment used in the industry combined with an eye-tracker from Tobii. A library, where coordinates from the eye-tracker were used to indicate what object in the interface was gazed upon, was implemented and used to demonstrate concepts such as buttons outside the screen activated by gaze.