Abstract
A sequential research work on visual information of manual arc welding pool dynamics are presented in this paper.
An optical inspection system, for monitoring the shielded manual arc welding (SMAW) process is described. The
system consisted of a vision sensor that consisted of a Complementary Metal Oxide Semiconductor (CMOS) camera
and lenses, image processing algorithms, and a computer controller. During welding, an image of the weld pool and
its vicinity was captured when basic current of welding power. Experimental results showed that the temperature
signal varies greatly in the case of instabilities of the weld pool that cause weld defects. The visual information
acquirement methods are focused in computer vision sensing, image processing and characteristic extraction of the
weld pool surface from the single-item pool images by particular algorithms control strategies are developed to
control welding pool dynamics during SMAW.