Inspection Image Rotation Compensation for Intuitive Articulation Control
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Solution Overview
Problem
Visual inspection tools lose intuitive correspondence between steering commands and displayed image portions when the image is rotated, making it difficult to control the inspection device effectively.
Innovation Solution
Apply coordinate transformations to image data and actuator drive signals to maintain the intuitive correspondence between steering commands and image translation, using equations to compensate for image rotation and mirroring, and provide graphical indicators to guide user inputs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the inspection image is rotated to provide different viewing orientations, then the versatility of the inspection device is improved, but the intuitive correspondence between steering commands and displayed image portions is lost
Solution Approach 1:
The system dynamically adjusts the coordinate transformation based on the current image rotation state. When the image is rotated, the system automatically applies the corresponding coordinate transformation to maintain the intuitive correspondence between steering commands and image movement, allowing the inspection device to adapt to different viewing orientations while preserving ease of operation
Solution Approach 2:
The system changes the coordinate system parameters (rotation angles, mirroring flags) based on the selected viewing orientation. By modifying these parameters and applying the appropriate coordinate transformation, the system maintains the intuitive relationship between steering inputs and image display across different rotation states
2Ease of operation
If coordinate transformation is applied to maintain intuitive correspondence, then the ease of operation is improved, but the device complexity increases
Solution Approach 1:
The system replaces complex mechanical steering mechanisms with software-based coordinate transformation. Instead of physically adjusting components to maintain correspondence, the system uses computational coordinate transformations to achieve the same effect, reducing mechanical complexity while improving ease of operation
Solution Approach 2:
The coordinate transformation acts as an intermediary between the steering commands and the image display. This software layer translates steering inputs according to the current rotation state, maintaining intuitive correspondence without requiring complex hardware modifications
Data Source
AI summary
A method can include receiving image data characterizing a viewed object acquired via an image sensor of a visual inspection system and providing the image data in a display. The method can include receiving a first directional movement input via a directional input device of the visual inspection system and applying a first set of actuator drive signals to a plurality of actuators of the visual inspection system. The method can further include applying a coordinate transformation to the image data to generate transformed image data and receiving a second directional movement input via the directional input device. The method can also include applying a second set of actuator drive signals to the plurality of actuators. The second set of actuator drive signals can cause points on the viewed object to move in the first direction on the display. Related systems performing the method are also provided.