An Automated Visual Inspection System for the Classification of the Phases of Ti-6Al-4V Titanium Alloy

In manufacturing industry the automated visual inspection system (AVIS) is a method to inspect, classify and detect defects of various products. In the past, the tasks of inspection are carrying out by humans, machines or both. In this paper, we account for an AVIS model to classify mechanical parts in production line. It comprises two parts: hardware and software. The model uses a web-camera attached to an adjustable stand to capture various group of metal part images. The main objective is to develop an intelligent inspection tool based on image processing and production rules. It computes both the area and circularity of mechanical shapes as the features and hence classifies them according to ten categories such as screws, nuts, and bolts at different sizes. The result shows that the accuracy is 91.5% for group and 98.25% for individual classification of mechanical parts subsequently.

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Progress toward an automated visual inspection system

10.2514/6.1990-1889 ◽

1990 ◽

Author(s):

P. COLEMAN ◽

S. NELSON ◽

J. MARAM ◽

A. NORMAN

Keyword(s):

Visual Inspection ◽

Inspection System ◽

Automated Visual Inspection

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Automated Visual Inspection of Contact Gap and Contact Malposition of Automotive Relay

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.190-191.661 ◽

2012 ◽

Vol 190-191 ◽

pp. 661-665 ◽

Cited By ~ 1

Author(s):

Chen Huei Hsieh ◽

Chi Sheng Tsai ◽

Ting Yu Tseng ◽

Yi Sheng Wong ◽

Shi Zhen Zhou

Keyword(s):

Visual Inspection ◽

Electrical Contact ◽

Testing Equipment ◽

Inspection System ◽

Automation System ◽

Automated Manufacturing ◽

Automated Visual Inspection

The gap and the malposition of the contact of automotive relay would heavily influence its life. If the gap and the malposition of all relays can be fully inspected and the inspection operation can be incorporated into the existing automated manufacturing and testing equipment, the quality will thus be significantly promoted. To reach this goal, a visual inspection system based on the platform of LabVIEW has been developed in this paper. The visual inspection system is capable of performing the inspection of the gap and the malposition of electrical contact in 1.6 seconds for one relay, and the whole automation system can manufacture one relay for every 2 seconds.

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Visual inspection system for the classification of solder joints

Pattern Recognition ◽

10.1016/s0031-3203(98)00103-4 ◽

1999 ◽

Vol 32 (4) ◽

pp. 565-575 ◽

Cited By ~ 63

Author(s):

Tae-Hyeon Kim ◽

Tai-Hoon Cho ◽

Young Shik Moon ◽

Sung Han Park

Keyword(s):

Visual Inspection ◽

Solder Joints ◽

Inspection System

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Neural Classifiers for Automated Visual Inspection

Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering ◽

10.1243/pime_proc_1994_208_166_02 ◽

1994 ◽

Vol 208 (2) ◽

pp. 83-89 ◽

Cited By ~ 14

Author(s):

D T Pham ◽

E J Bayro-Corrochano

Keyword(s):

Vector Quantization ◽

Visual Inspection ◽

Vision System ◽

Back Propagation ◽

Learning Vector Quantization ◽

Multi Layer Perceptron ◽

Automated Visual Inspection ◽

Valve Stem

This paper discusses the application of a back-propagation multi-layer perceptron and a learning vector quantization network to the classification of defects in valve stem seals for car engines. Both networks were trained with vectors containing descriptive attributes of known flaws. These attribute vectors (‘signatures’) were extracted from images of the seals captured by an industrial vision system. The paper describes the hardware and techniques used and the results obtained.

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Automated visual inspection system of automobile doors and windows using the adaptive feature extraction

1998 Second International Conference. Knowledge-Based Intelligent Electronic Systems. Proceedings KES'98 (Cat. No.98EX111) ◽

10.1109/kes.1998.725985 ◽

2002 ◽

Cited By ~ 2

Author(s):

Yun Koo Chung ◽

Ki Hong Kim

Keyword(s):

Feature Extraction ◽

Visual Inspection ◽

Inspection System ◽

Automated Visual Inspection ◽

Adaptive Feature Extraction

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A Real-Time Automated Visual Inspection System for Hot Steel Slabs

IEEE Transactions on Pattern Analysis and Machine Intelligence ◽

10.1109/tpami.1983.4767445 ◽

1983 ◽

Vol PAMI-5 (6) ◽

pp. 563-572 ◽

Cited By ~ 42

Author(s):

Bindinganavle R. Suresh ◽

Richard A. Fundakowski ◽

Tod S. Levitt ◽

John E. Overland

Keyword(s):

Real Time ◽

Visual Inspection ◽

Inspection System ◽

Automated Visual Inspection ◽

Steel Slabs

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Automated Visual Inspection of Surface Defects on Hot-Rolled Plate

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.201-203.1619 ◽

2011 ◽

Vol 201-203 ◽

pp. 1619-1622

Author(s):

Qiang Song

Keyword(s):

Visual Inspection ◽

Surface Defects ◽

Digital Camera ◽

Structural Defects ◽

Rolled Plate ◽

Inspection System ◽

Automated Visual Inspection ◽

Accurate Identification ◽

Surface Defect Detection ◽

Hot Rolled

This paper is concerned with the problem of automatic inspection of hot-rolled plate surface using machine vision. An automated visual inspection (AVI) system has been developed to take images of external hot-rolled plate surfaces and the detailed characteristics of the sensor system which include the illumination and digital camera are described. An intelligent surface defect detection paradigm based on morphology is proposed to detect structural defects on plate surfaces. The proposed method has been implemented and tested on a number of hot-rolled plate surfaces. The results suggest that the method can provide an accurate identification to the defects and can be developed into a commercial visual inspection system.

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