On-Machine Illumination Technique in Industry Machine Vision

Zhong Ren Wang; Yan Hua Wu

doi:10.4028/www.scientific.net/AMR.201-203.1582

Paper Titles

Research on Real Tooth Surface Deviation Correction of Spiral Bevel Gear Based on Truncated Singular Value Decomposition
p.1562

Three Dimensional Parametric Design of the Die Channel for Plastic Extrusion Based on SolidWorks
p.1569

Research on PCB Electroplating Current Monitoring System Based on a Wireless Sensor Network
p.1573

Theoretical Calculation of Negative Skin Friction for Pile Foundation in Layered Soil
p.1577

On-Machine Illumination Technique in Industry Machine Vision
p.1582

Design of the Proportional Feeding System of Raw Mill
p.1586

Study on Polarization Distribution of Polarization Encoder in Oblique Incidence
p.1590

Nonlinear Method for Load Transfer Model of Super-Long Pile in Layered Soil
p.1596

Nonlinear Finite Element Analysis of Super-Long Pile and Soil Interaction in Soft Soil
p.1601

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 201-203On-Machine Illumination Technique in Industry...

On-Machine Illumination Technique in Industry Machine Vision

Abstract:

On-machine illumination is a key technology in industry machine vision. In this paper, two on-machine illuminant schemes were introduced. Firstly, for vision measurement of large-scale workpiece, an adjustable LED lighting source was established on the worktable of NC milling machine. High-quality image sequence was acquired to guarantee the effect of image mosaicing. Secondly, for texture classification of machined surface, a kind of dome LED illuminant was set up on the lathe. Experiment results show that red light is appropriate selection for on-machine illumination. Moreover, the size and the shape of illuminant should suit for the situation of the machine tool and workpiece.