Virtual Button Calibration for AR Light-Guided Assembly
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Solution Overview
Problem
Existing augmented reality systems require manual recalibration of virtual buttons when their position is changed, which is time-consuming and prone to user error.
Innovation Solution
A method and apparatus for calibrating virtual buttons by positioning a projector and sensor adjacent to each other, integrating them into a single housing, and using a controller to adjust the position of the virtual button without manual recalibration, utilizing a calibration data set to maintain alignment with the work area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the position of virtual buttons is changed in the augmented reality system, then the system can adapt to different work area requirements, but manual recalibration is required which is time-consuming and prone to error
Solution Approach 1:
The system performs automatic recalibration without user intervention. When virtual buttons need to be repositioned, the system autonomously recalibrates the projector and sensor alignment using stored calibration data, eliminating the need for manual recalibration operations and significantly reducing time loss.
Solution Approach 2:
The system pre-stores calibration data from initial calibration processes. This preliminary calibration information is saved in memory and reused when virtual buttons need to be repositioned, allowing the system to quickly restore proper alignment without performing time-consuming manual recalibration procedures.
2Manufacturing precision
If manual recalibration is performed to reposition virtual buttons, then alignment can be restored, but user error is introduced and efficiency is reduced
Solution Approach 1:
The system autonomously performs recalibration operations without human intervention, eliminating sources of user error such as misalignment during manual adjustment. The automatic recalibration process consistently restores projector-sensor alignment based on stored calibration parameters, improving reliability.
Solution Approach 2:
The system uses the sensor to detect the positions of projected indicators and provides feedback to the controller. This feedback loop enables the system to automatically adjust and verify alignment accuracy, ensuring precise projector-sensor coordination without relying on manual operator skill.
3Ease of operation
If multiple virtual buttons are positioned throughout the work area, then user guidance is improved, but system complexity increases requiring precise calibration
Solution Approach 1:
The calibration system uses universal calibration data that can be applied to multiple virtual buttons positioned at different locations in the work area. A single calibration process creates a coordinate transformation that works for all projected indicators, simplifying the system while enabling comprehensive user guidance across the entire work area.
Solution Approach 2:
The system uses the sensor to capture images of multiple virtual buttons and applies the same calibration transformation to all of them. This copying approach allows consistent alignment across multiple positioned buttons without requiring separate calibration procedures for each one, reducing overall system complexity.
Data Source
AI summary
A method for calibrating a sensor and projector with respect to a work area, the method including positioning a projector to project light indicators at locations in the work area and positioning a sensor with respect to the projector such that the sensor's field of view includes a selected portion of the work area. The sensor captures video or encoded data of activities at the work area. The sensor and projector are aimed at a set of coordinates upon the work area and the associated aim-point coordinates of the sensor and projector are recorded. The sensor and projector are aimed at additional sets of coordinates upon the work area, and the associated aim-point coordinates are recorded until a sufficient quantity of aim-point coordinates have been collected to form a calibration data set sufficient to calibrate the sensor and projector to the work area.


