Mediated Reality Welding System Lighting Adaptation
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Solution Overview
Problem
Manual welding operations face challenges in maintaining effective visibility while protecting eye sight, as existing technologies do not adequately account for varying lighting conditions, which can impact the accuracy and quality of welds.
Innovation Solution
The development of mediated reality welding systems that incorporate head-worn devices with cameras, display devices, weld detection circuitry, and pixel data processing circuitry, which adjust operations based on lighting conditions and other sensory inputs to provide an augmented reality view for the welder, enhancing visibility and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If manual welding operations are performed with traditional protective equipment, then eye sight is protected, but visibility of the work area is compromised
Solution Approach 1:
The system captures real-time images of the welding area using a camera and displays them on a screen or augmented reality display, creating a visual copy of the work area that the welder can view without directly exposing their eyes to the harmful welding arc light
Solution Approach 2:
A camera and display system act as an intermediary between the welder's eyes and the welding area, allowing the welder to observe the work through the displayed images rather than direct vision, thus protecting eyes while maintaining visibility
2Device complexity
If lighting conditions are not adjusted for welding operations, then equipment simplicity is maintained, but weld quality and accuracy deteriorate
Solution Approach 1:
The system dynamically adjusts image processing parameters such as brightness, contrast, and exposure based on detected lighting conditions and welding arc presence, allowing the visualization system to adapt in real-time without requiring complex physical lighting modifications
Solution Approach 2:
The system changes processing parameters of the captured images (brightness, contrast, saturation, exposure time) based on ambient lighting conditions and welding arc detection, optimizing visibility and weld quality without adding physical complexity to the welding process itself
3Illumination intensity
If real-time image processing is applied to compensate for lighting conditions, then visibility is improved, but processing time and computational resources increase
Solution Approach 1:
The system applies selective image processing techniques, enhancing only the critical welding area and relevant features rather than processing the entire image at full resolution, thus improving visibility of the work area while reducing overall computational burden
Solution Approach 2:
The image processing is segmented into different processing zones, with higher processing intensity applied to the welding area of interest and lower processing intensity to surrounding areas, optimizing the balance between visibility enhancement and processing speed
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system improves the welder's ability to maintain accurate and high-quality welds by providing real-time adjustments to pixel data processing based on lighting conditions and sensory inputs, enhancing visibility and operational control.
Implementation Method 1
a light sensor to measure the intensity of light incident on the headwear
Data Source
AI summary
An example head-worn device includes a camera, a display device, weld detection circuitry, and pixel data processing circuitry. The camera generates first pixel data from a field of view of the head-worn device. The display device displays second pixel data to a wearer of the head-worn device based on the first pixel data captured by the camera. The weld detection circuitry determines whether a welding arc is present and generates a control signal indicating a result of the determination. The pixel data processing circuitry processes the first pixel data captured by the camera to generate the second pixel data for display on the display device, where a mode of operation of said pixel data processing circuitry is selected from a plurality of modes based on said control signal.