AI Welding Shield Display for Full-View Arc Dazzle Reduction
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Solution Overview
Problem
Existing welding shields with auto-darkening light filters limit the welder's field of view, causing eye strain and reduced productivity due to the need to rely on visual memory and intermittent removal of the shade mode for visibility of the surroundings.
Innovation Solution
A welder's shield equipped with artificial intelligence, featuring a camera, display, and processor that uses pattern recognition algorithms to detect welding arcs and adjust the image to maintain a uniformly illuminated screen, reducing eye strain and enhancing visibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If an auto-darkening light filter is used to protect the welder from dazzle, then protection from welding arc light is improved, but the field of view is limited and only a small area around the arc is visible
Solution Approach 1:
The field of view is segmented into two distinct zones: a central viewing area with auto-darkening filter for arc protection, and peripheral transparent zones that remain clear for surrounding visibility. This segmentation allows simultaneous protection from arc dazzle while maintaining broad field of view for monitoring the welding area.
Solution Approach 2:
Different regions of the shield have different optical properties: the central region contains the auto-darkening light filter for arc protection, while the peripheral regions remain transparent. This local differentiation of optical quality enables selective protection where needed while maintaining visibility elsewhere.
2Object-affected harmful factors
If the light filter enters shade mode to protect from dazzle, then protection from welding arc light is improved, but the welder cannot see the surroundings and must rely on visual memory
Solution Approach 1:
The shield divides the visual field into protected and unprotected zones, allowing the welder to see both the welding arc (through the filtered central area) and the surrounding work area (through the clear peripheral areas) simultaneously, eliminating the need to rely on visual memory.
Solution Approach 2:
The peripheral transparent zones act as intermediaries that transmit information about the surrounding environment to the welder's eyes without being affected by the welding arc light, providing continuous visual feedback about the work area while the central filter handles arc protection.
3Loss of information
If the welder temporarily stops welding to remove the filter from shade mode, then visibility of surroundings is improved, but productivity is reduced
Solution Approach 1:
The shield enables continuous welding operation without interruptions by providing simultaneous visibility of both the welding arc and the surrounding work area. The welder can monitor progress and surroundings continuously, eliminating the need to stop and adjust the filter, thus maintaining uninterrupted productivity.
Solution Approach 2:
The transparent peripheral zones provide continuous visual feedback about the welding progress and surrounding area, allowing the welder to maintain awareness and make real-time adjustments without stopping the welding process, thereby sustaining productivity.
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 AI-powered welding shield improves working conditions by maintaining a natural and evenly illuminated field of view, reducing eye fatigue, and increasing productivity by allowing the welder to see the entire area of the line of sight without needing to interrupt welding.
Implementation Method 1
a camera mounted on the frame and directed forward toward a welding zone, so as to obtain images of the welding zone as video data
Implementation Method 2
a display on an inner side of the frame; an optical device to enable the user to see the display
Data Source
AI summary
Welder's shield with AI includes a frame for mounting on a user's head; a camera mounted on the frame and directed forward toward welding zone, to obtain images of welding zone as video data; a display on an inner side of the frame; an optical device to enable the user to see the display; battery; processor receiving a video data from the camera; the processor running an AI application to process the video data; the processor displaying images on the display based on output of the AI application; the artificial intelligence application receiving the video data and detecting a welding arc in the welding zone using a pattern recognition algorithm; and the AI application modifying the video data to reduce an intensity of the welding arc in the images that are to be displayed on the display, without reducing an intensity of the rest of the images.