In order to effectively identify and classify weld defects of thin-walled metal canisters, a weld
defect detection and classification algorithm based on machine vision is proposed in this …

Facing the demand of the industry for metal surface detection, this article addresses the
segmentation of metal surface defects. Metal surface defect segmentation has many …

To address the problem of low welding precision caused by the poor real-time tracking
performance of common welding robots, a novel seam tracking system with excellent real …

One of the most important operations during the manufacturing process of a pressure vessel
is welding. The result of this operation has a great impact on the vessel integrity; thus …

Weld bead measurement and weld quality inspection are important parts in industrial
welding. In this paper, a structured light vision sensor is developed to achieve on-line weld …

This paper proposes a deep convolutional neural network (CNN)-based technique for the
detection of micro defects on metal screw surfaces. The defects we consider include surface …

The vision-based welding status recognition (WSR) provides a basis for online welding
quality control. Due to the severe arc and fume interference in the welding area and limited …

Thermal distortion was a major issue in sheet metal welding. One particular issue to be
addressed in this work for tube-to-tubesheet welding was the resultant variation in the …

This paper proposes a defect detection method using laser vision with model-based
segmentation for laser brazing welds on car body surface, in which a dynamic ideal surface …

Three-dimensional reconstruction of the weld surface is critical for online visual inspection of
welds. A new three-dimensional reconstruction algorithm is proposed by fusion analysis of …