Automobile Frame Side Rail Detection System Based on Machine Vision

Yu Zhuo Men; Hai Bo Yu; Hua Wang; Jin Gang Gao; Xin Pan

doi:10.4028/www.scientific.net/AMR.605-607.1527

Paper Titles

Error Analysis of a 2-PRS/2-UPS 4-DOF Parallel Platform
p.1511

Dynamic Analysis of Key Parts of CNC Milling Machine Based on FEM
p.1515

Finite Element Analysis of Milling Head Box of CNC Machine Tool
p.1519

Statics Analysis for the Crossbeam of Large Gantry CNC Machine under Six Working Conditions
p.1523

Automobile Frame Side Rail Detection System Based on Machine Vision
p.1527

A Practical Algorithm for Ball-End Mill Using a Five-Axis CNC Grinding Machine
p.1531

The Application of PLC in the Stepper Motor Closed-Loop Control System Design
p.1537

Dynamic Analysis and Structure Improvements on Machine Tool Bed
p.1541

Structural Design of the Robot Arm for Massage Based on the Chain Drive
p.1547

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 605-607Automobile Frame Side Rail Detection System Based...

Automobile Frame Side Rail Detection System Based on Machine Vision

Abstract:

A machine vision on-line detection system for automobile frame side fail mounting holes is proposed in this article to solve the backward and low-efficiency problems for detection methods of large-size automobile frame side fail mounting holes. Many images captured by CDD camera are processed and analyzed by virtue of algorithms such as image stitching, threshold segmentation, edge detection, feature extraction, etc.. The developed detection system prototype has very high detection accuracy.

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Periodical:

Advanced Materials Research (Volumes 605-607)

Pages:

1527-1530

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.605-607.1527

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Online since:

December 2012

Authors:

Yu Zhuo Men, Hai Bo Yu, Hua Wang, Jin Gang Gao, Xin Pan

Keywords:

Automobile Frame Side Rail, Image Stitching, On-Line Detection, Threshold Segmentation

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