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Algorithm for the Evaluation of Imperfections in Auto Bodywork Using Profiles from a Retroreflective Image

Overview
Journal Sensors (Basel)
Publisher MDPI
Specialty Biotechnology
Date 2014 Feb 8
PMID 24504105
Citations 1
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Abstract

Nowadays the automobile industry is becoming more and more demanding as far as quality is concerned. Within the wide variety of processes in which this quality must be ensured, those regarding the squeezing of the auto bodywork are especially important due to the fact that the quality of the resulting product is tested manually by experts, leading to inaccuracies of all types. In this paper, an algorithm is proposed for the automated evaluation of the imperfections in the sheets of the bodywork after the squeezing process. The algorithm processes the profile signals from a retroreflective image and characterizes an imperfection. It is based on a convergence criterion that follows the line of the maximum gradient of the imperfection and gives its geometrical characteristics as a result: maximum gradient, length, width, and area.

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Object Identification for Task-Oriented Communication with Industrial Robots.

Rogowski A, Skrobek P Sensors (Basel). 2020; 20(6).

PMID: 32210131 PMC: 7147712. DOI: 10.3390/s20061773.