Study on the effect of machine vision in real time application — Robot welding

Thamilarasi, P.; Ragunathan, S.

doi:10.1109/iccic.2010.5705801

Cited by 2 publications

(1 citation statement)

References 24 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Visionbased manipulation processes generally include the tasks such as acquisition of images, image processing, image analysis and extraction of features, and 602499M AC0010.1177/0020294015602499A Machine Vision System for Tool Positioning and Its VerificationA Machine Vision System for Tool Positioning and Its Verification research-article2015 A Machine Vision System for Tool Positioning and Its Verification feedback for control of motion actuator(s). 12,13 Machine vision-based tool positioning and verification is a significant topic of research as it has variety of applications in mechanical, 14 aerospace, 15 medical, 16 and manufacturing processes. 17 Many researchers have contributed significantly in this field.…”

Section: Introductionmentioning

confidence: 99%

A Machine Vision System for Tool Positioning and Its Verification

Mahapatra

Thareja

Kaur

et al. 2015

Measurement and Control

View full text Add to dashboard Cite

This paper presents a machine vision–based precise tool positioning and verification system that may be used with milling and lathe machines, and so on. For many industrial applications, the accuracy required in machining operations is of the order of microns. The developed machine vision–based tool position verification process involves pixel calibration to compute and measure real-world minute dimensions. These measurements are based on two-dimensional spatial correlation of sequential images captured from the movement of the tool with a resolution of 250 µm. The captured sequential images are thresholded using a new bio-inspired technique named Negative Selection Algorithm, a model of Artificial Immune System. The developed system extracts the difference between the actual and target positions of the tool from the captured images through image processing and calculates the error. To compensate for the positional error, alignment commands are fed to the two-axis high precision motor. The maximum error observed was ±206 µm for 14.99999 mm movement.

show abstract