Study of real-time weld seam tracking visual image analysis using a neural network

1988 ◽  
Vol 1 ◽  
pp. 464
Keyword(s):  
Neural Network ◽  
Image Analysis ◽  
Real Time ◽  
Weld Seam ◽  
Visual Image ◽  
Seam Tracking ◽  
Weld Seam Tracking

A New Algorithm of Weld Seam Detection Based on Mathematical Morphology

2013 ◽  
Vol 397-400 ◽  
pp. 2124-2128
Author(s):  
Bao Juan Zou ◽  
Na Fang ◽  
Ren Xian Zeng
Keyword(s):  
Real Time ◽  
Mathematical Morphology ◽  
Weld Seam ◽  
Industrial Robot ◽  
Recognition Algorithm ◽  
Seam Tracking ◽  
Weld Seam Tracking ◽  
Morphological Filtering ◽  
Robust Recognition ◽  
Straight Lines

Weld seam tracking is the key technology of industrial robot. It satisfies accuracy and real-time demand. This paper presents a robust recognition algorithm for weld seam images based on mathematical morphology. This algorithm used the morphological filtering for image enhancement at first, and then applied Otsu threshold segmentation in local. Besides, it implemented region filling and morphological thinning operation to get the segmented weld seam. Finally, the Hough transform was adopted to detect the straight lines from the weld image. The results prove that this method not only can detect the seam tracking in real-time, but also can identify weld seam automatically.

Design of Weld Seam Tracking Control System Based on DSP

2011 ◽  
Vol 55-57 ◽  
pp. 1759-1763
Author(s):  
Zhong Hu Yuan ◽  
Shuo Jun Yu ◽  
Xiao Wei Han
Keyword(s):  
Control System ◽  
Fuzzy Control ◽  
Real Time ◽  
Digital Signal Processor ◽  
Weld Seam ◽  
Tracking System ◽  
Seam Tracking ◽  
Real Time Control ◽  
Welding Seam ◽  
Weld Seam Tracking

In the process of weld seam tracking, traditional mathematical model of classical and modern control theory is hard to meet the requirement of high performance controller. This article based on the embedded digital signal processor DSP-TMS320F2812 for the field of industrial automation control.The fuzzy control technology is applied to real-time welding seam-tracking system, according to the F2812 which has the characteristics of real-time multitasking scheduling of resources and then designed the real-time control value adjustment Fuzzy-PI control system. The designed DSP real-time fuzzy control system gives full play to powerful control and signal processing ability of F2812, it can fully adapt for the controlling requirement of super-speed and high-precision.

A tactual weld seam tracking method in super narrow gap of thick plates

2020 ◽  
Vol 62 ◽  
pp. 101864 ◽  
Author(s):  
Ting Lei ◽  
Yu Huang ◽  
Wenjun Shao ◽  
Weinan Liu ◽  
Youmin Rong
Keyword(s):  
Weld Seam ◽  
Seam Tracking ◽  
Narrow Gap ◽  
Thick Plates ◽  
Tracking Method ◽  
Weld Seam Tracking

scholarly journals Research on the Deviation Sensing of V-groove Weld Seam based on a Novel Two Channel Acoustic Sensor

2021 ◽  
Author(s):  
Yanfeng Gao ◽  
Jianhua Xiao ◽  
Genliang Xiong ◽  
Hua Zhang
Keyword(s):  
Weld Seam ◽  
Welding Process ◽  
Simulation Method ◽  
Seam Tracking ◽  
Acoustic Sensor ◽  
Robotic Welding ◽  
Weld Seam Tracking ◽  
Novel Method ◽  
Linear Property ◽  
Sensing Performance

Abstract It is essential to sense the deviation of weld seam real-timely in robotic welding process. However, welding process always accompanied with high temperature, strong arc light and background noises, which significantly affects the application of sensors. In this study, a novel acoustic sensor was developed. This sensor consists of two microphones. Based on the sound signals collected by these two microphones, the deviation of weld seam was detected. The frequency response of the developed acoustic sensor was studied through simulation method firstly, and then the sensing performance of it was analyzed with experiments. The experimental results show that the developed acoustic sensor has a linear property for the deviation detection of V-groove weld seam. This research provides a novel method for weld seam tracking.

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