This paper presents an analysis of the accuracy and robustness of the Leap Motion Controller, a new device for hand gesture-controlled user interfaces with claimed sub-millimeter accuracy. The study evaluates the controller's performance in real-world environments using an industrial robot with a reference pen, achieving a position accuracy of 0.2 mm for static setups and 1.2 mm for dynamic setups. The results show that the Leap Motion Controller's accuracy is below the human tremor level, making it suitable for gesture-based user interfaces. The controller's repeatability is also assessed, with an average of less than 0.17 mm. The study highlights the controller's potential in gesture detection systems, where accurate path determination is crucial. However, the theoretical accuracy of 0.01 mm is not achievable under real conditions, but the controller demonstrates high precision with an overall average accuracy of 0.7 mm. The evaluation was conducted on the preliminary version of the Leap Motion Controller, and results may differ from the consumer product. Future work will focus on the controller's application in hand gesture recognition and user interface design. The study also suggests that the Leap Motion Controller could be integrated into various applications, such as medical imaging and 3D modeling. The experimental setup using an industrial robot is not limited to this study and can be used for future motion detection and position tracking systems.This paper presents an analysis of the accuracy and robustness of the Leap Motion Controller, a new device for hand gesture-controlled user interfaces with claimed sub-millimeter accuracy. The study evaluates the controller's performance in real-world environments using an industrial robot with a reference pen, achieving a position accuracy of 0.2 mm for static setups and 1.2 mm for dynamic setups. The results show that the Leap Motion Controller's accuracy is below the human tremor level, making it suitable for gesture-based user interfaces. The controller's repeatability is also assessed, with an average of less than 0.17 mm. The study highlights the controller's potential in gesture detection systems, where accurate path determination is crucial. However, the theoretical accuracy of 0.01 mm is not achievable under real conditions, but the controller demonstrates high precision with an overall average accuracy of 0.7 mm. The evaluation was conducted on the preliminary version of the Leap Motion Controller, and results may differ from the consumer product. Future work will focus on the controller's application in hand gesture recognition and user interface design. The study also suggests that the Leap Motion Controller could be integrated into various applications, such as medical imaging and 3D modeling. The experimental setup using an industrial robot is not limited to this study and can be used for future motion detection and position tracking systems.