Eye Tracking Control for Particle Beam Devices
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Solution Overview
Problem
Current particle beam devices, such as electron and ion beam systems, require cumbersome and error-prone manual adjustments of control parameters for imaging and processing, leading to inefficient operation and potential misconfiguration.
Innovation Solution
The implementation of an eye-tracking system that identifies and adjusts control parameters visually, allowing for intuitive and precise changes to settings like contrast, brightness, and beam positioning, reducing the risk of errors and improving operational efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of control parameters is used, then the device can be operated with simple controls, but the operation becomes cumbersome and error-prone
Solution Approach 1:
The patent replaces manual mechanical adjustment with an eye-tracking system that uses optical detection of eye movements to automatically adjust control parameters. The eye tracker detects gaze position and duration, triggering automated parameter changes without physical contact, thereby eliminating manual errors while maintaining ease of operation.
Solution Approach 2:
The system enables self-service operation by automatically adjusting parameters based on the operator's gaze patterns. When the eye tracker detects that the operator is looking at a specific parameter or control element for a predetermined duration, the system autonomously makes the appropriate adjustment, freeing the operator from manual adjustment tasks.
2Productivity
If automated eye-tracking control is implemented, then operational efficiency improves, but device complexity increases
Solution Approach 1:
The eye tracker serves multiple functions: it detects operator attention, determines which parameter needs adjustment, validates the correctness of adjustments through continued gaze monitoring, and can trigger different types of controls (sliders, buttons, numerical inputs). This multi-functionality consolidates what would otherwise require separate systems into a single integrated component.
Solution Approach 2:
The eye tracker acts as an intermediary between the operator's intent and the system's response. Rather than direct manual manipulation, the operator's gaze serves as the input signal, and the system translates gaze patterns into appropriate parameter adjustments, creating a natural and efficient interaction bridge.
3Measurement precision
If precise manual control is required, then parameter accuracy can be maintained, but the adjustment process becomes time-consuming
Solution Approach 1:
The system performs preliminary action by anticipating the operator's needs through gaze detection. When the operator looks at a parameter that requires adjustment, the system prepares and executes the adjustment automatically, eliminating the time lag between identifying the needed change and actually making it, while maintaining precision through validated gaze-triggered execution.
Solution Approach 2:
The eye-tracking system provides continuous feedback about the operator's attention state. By monitoring gaze position and duration, the system receives feedback on which parameters need adjustment and validates when adjustments are complete, creating a closed-loop control system that achieves precise parameter setting efficiently through automated feedback-driven adjustment.
Data Source
AI summary
A method for controlling a particle beam device for imaging, analyzing and/or processing an object, and a particle beam device for carrying out the method. The particle beam device may be an electron beam device and/or or an ion beam device. The method may include identifying at least one control parameter of a unit of the particle beam device using an eye tracker by tracking at least one eye of a user of the particle beam device, and changing the at least one control parameter of the unit of the particle beam device.