Welding auxiliary method and device

Abstract

Provided are a welding auxiliary method and device for improving welding visualization. The welding assistance method includes the steps of: using at least one beam splitter to split the incident light from the welding environment into at least a first optical path and a second optical path having different luminosity. A plurality of images of segmented light with different luminosity are obtained using corresponding camera sensors. A plurality of images from the corresponding imaging sensors are fused to generate a fused image for the left eye and a fused image for the right eye. Displays the fused image for the left eye on the display at the position of the user's left eye and the fused image for the right eye on the display at the position of the user's right eye, thereby providing a parallax-free high dynamic range with respect to the welding environment show.

Description

technical field [0001] The present invention generally relates to a welding assistance method and device, and more particularly, to a welding assistance method and device for improving real-time welding visualization and assistance for a welding environment. Background technique [0002] To date, many welding processes have been performed manually. However, in welding-related industries such as manufacturing and construction, there has been a growing shortage of experienced and skilled welders. The reason for this is that the training of welders by instructors as in the past took a long time, and the number of retired laborers increased sharply, which can be regarded as the reasons for the shortage of such experienced and skilled welders. [0003] Fully automated or robotic measures are one way to deal with the shortage of experienced and skilled welders. However, automated equipment or robotic-type equipment may be expensive, and the setup and disassembly of the equipment...

AI Technical Summary

Problems solved by technology

However, automated equipment or robot-type equipment may be more expensive, and equipment setup and disassembly may become complicated, so efficiency may be reduced

In addition, there are areas where automated equipment or robot-type equipment is not suitable

[0004] In some current systems designed to assist in welding, filters are used to provide multiple images of, for example, the welding environment with various dynamic ranges, however, the filters are not as durable, or as accurate, Potential for early wear and tear, requiring frequent replacement

Furthermore, in these systems and others, multiple images captured by the cameras are simply combined in order to generate images / videos with a wide dynamic range of, for example, the welding environment

However, if multiple camera images are simply composited, details in each image may be lost

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