Robust welding seam tracking and recognition
WebOct 18, 2006 · The processing ways of welding seam image based on single-stripe laser are discussed. The wavelet transform is applied to get the horizontal detail part of the image. Taking this part for subsequent seam recognition, its remaining noises are eliminated by median filtering in vertical direction. KSW entropy algorithm is used for image … WebResearch on Tracking Recognition Algorithm of Steel Pipe Welding Seam Image. Authors: Wang Li-ming. View Profile, Gai Xiuqing. View Profile,
Robust welding seam tracking and recognition
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WebAfter welding operation, the mobile platform lifts the robot, climbs the longi and moves to the next task space according to predefined welding schedule. CAD data 3. The Sensor System for Welding Envirom ment Recognition and Seam Tracking To fulfill the welding task and the environmental recognition task, the mobile welding robot is equipped WebFeb 1, 2024 · Overview of weld seam recognition methods With structured light vision in robotic welding, the weld seam should be identified in the welding images with laser …
WebOct 1, 2005 · The application of recognition for the weld seam and its initial position in a complicated environment based on the image pattern match technology has been discussed. WebFeb 1, 2024 · In this paper, a weld seam recognition algorithm is proposed based on structured light vision to overcome this challenge. The core of this method is fully utilizing …
WebApr 12, 2024 · In their later work, Ge et al. built an efficient automatic welding seam grinding system based on model segmentation and proposed a new simple and efficient welding seam extraction algorithm. They planned the grinding path of the robot, which can extract different seams, achieve a regular weld profile, and increase grinding efficiency by 50%. WebFeb 15, 2024 · We demonstrated the robustness of this method by detecting seam in noisy welding conditions. The seam tracking method by using structured light is widely used in the automatic welding process. Most of the noise can be filtered out by a narrow-band optical filter whose center wavelength is the same as the structured light.
WebJul 21, 2024 · In this paper, we considered welding seam localization problem as visual target tracking and based on that, we proposed a robust welding seam tracking …
WebApr 1, 2024 · The seam position detection and tracking for the mobile welding robot Xueqin Lü, Kebing Zhang, Yixiong Wu Materials Science 2024 To solve the problems that the current seam tracking process cannot find the weld line and the control method based on the kinematic model of welding mobile robot leads to low accuracy, a method for… Expand 22 … sles-50492WebFeb 16, 2024 · A robust welding seam tracking algorithm is proposed to eliminate the welding tracking error. The remainder of this paper is organized as follows: in section 2, … sles14WebFeb 16, 2024 · A robust welding seam tracking algorithm is proposed to eliminate the welding tracking error. The remainder of this paper is organized as follows: in section 2, the design of the mobile welding robot and the navigation method are presented. In section 3, the multi-layer sensing strategy and welding seam tracking method are presented. slept 10 hoursWebFeb 1, 2024 · In this paper, a weld seam recognition algorithm is proposed based on structured light vision to overcome this challenge. The core of this method is fully utilizing information of previous frames to process the current frame, which can make weld seam extraction both more robust and effective. penn css profileWebMay 10, 2024 · To address the problem of low welding precision caused by possible disturbances, e.g., strong arc lights, welding splashes, and thermally induced … sles 12.5WebSeam tracking was performed by correcting the position of the sensor to the amount of offset displacement determined during each sampling period. From the experimental results, the developed sensor system showed an excellent capability for weld seam detection and tracking when the sensor-to-workpiece distance was less than 5mm. penn data science grouppenndel\u0027s bakehouse el cerrito