Automated Vision Inspection System for the Size Measurement of Workpieces

This paper researched on the characteristic of circle, line and area of 2-D mechanical parts. The non-contact vision inspection system is based on labVIEW and IMAQ Vision, and the main hardware include GIGE camera, image acquisition and the NI PXI-1042 platform. The system uses image processing and analysis technology, such as image filtering, smoothing processing, local enhancement and edge detection to complete the work of size measurement. According to the contrast testing results, this system has characteristics of less time-consuming, quick inspection speed and high measurement accuracy, which completely satisfies the requirements.

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A Vision Inspection System for the Defects of Resistance Spot Welding Based on Neural Network

Lecture Notes in Computer Science - Computer Vision Systems ◽

10.1007/978-3-319-68345-4_14 ◽

2017 ◽

pp. 161-168 ◽

Cited By ~ 1

Author(s):

Shaofeng Ye ◽

Zhiye Guo ◽

Peng Zheng ◽

Lei Wang ◽

Chun Lin

Keyword(s):

Neural Network ◽

Resistance Spot Welding ◽

Spot Welding ◽

Inspection System ◽

Resistance Spot ◽

Vision Inspection

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Machine Vision Inspection System of Micro-Drilling Processes On the Machine Tool

Transactions of the Korean Society of Mechanical Engineers A ◽

10.3795/ksme-a.2004.28.6.867 ◽

2004 ◽

Vol 28 (6) ◽

pp. 867-875 ◽

Cited By ~ 1

Keyword(s):

Machine Vision ◽

Machine Tool ◽

Inspection System ◽

Vision Inspection ◽

Micro Drilling ◽

Machine Vision Inspection

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Intelligent Vision Inspection System for IC Engine Head: An ANN Approach

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.479-481.2242 ◽

2012 ◽

Vol 479-481 ◽

pp. 2242-2245 ◽

Cited By ~ 1

Author(s):

Rajesh Kanna ◽

Manikandan Saravana

Keyword(s):

Machine Vision ◽

Vision System ◽

Back Propagation ◽

Engine Block ◽

Inspection System ◽

Back Propagation Algorithm ◽

Ic Engine ◽

Vision Inspection ◽

System Module ◽

Artificial Neural Network Ann

A machine vision system based on Artificial Neural Network (ANN) for inspection of IC Engine block was developed to identify the misalignment and improper diminishing of holes in the IC Engine block. The developed machine vision and ANN module is compared with the commercial MATLAB® software and found results were satisfactory. This work is broadly divided into four stages, namely Intelligent inspection module, Machine Vision module, ANN module and Expert system module. A system with a camera was used to capture the various segments of head of the IC Engine block. The captured bitmap format image of IC Engine block has to be filtered to remove the noises present while capturing and the size is also altered using SPIHT method to an acceptable size and will be given as input to ANN. Generalized ANN with Back-propagation algorithm was used to inspect the IC Engine block. ANN has to be trained to provide the inspected report.

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