Integrity Detection of Automatic Assembly for Lamp Parts Based on Color and Shape Feature

2014 ◽  
Vol 1030-1032 ◽  
pp. 1721-1725
Author(s):  
Pei Pei Wu ◽  
Ping An Mu ◽  
Shu Guang Dai
Keyword(s):  
Quality Control ◽  
Machine Vision ◽  
Industrial Production ◽  
Template Matching ◽  
Automatic Assembly ◽  
Shape Feature ◽  
Color Feature ◽  
Material Resources ◽  
Parts Manufacturing

In industrial production, the machine vision save a lot of manpower and material resources. And it has become an indispensable part of quality control solutions in automobile and parts manufacturing. In order to detect the integrity of automatic assembly for lamp parts, we first use the shape feature to determine whether the part shape is right through egde detection and template matching algorithms. And if the shape is right, we can further detect the color feature which are different in different sales regions using the color moments. As a result, the missing and mistake packing can be detected.

Application of Indentation Method for Quality Control of Processing of Ceramic Details

2016 ◽  
Vol 827 ◽  
pp. 7-10 ◽  
Author(s):  
Valery V. Kuzin ◽  
Sergey N. Grigoriev ◽  
Sergey Fedorov
Keyword(s):  
Quality Control ◽  
Pulse Laser ◽  
Experimental Studies ◽  
Laser Machining ◽  
Ceramic Surface ◽  
Local Fracture ◽  
Indentation Method ◽  
Fracture Formation ◽  
Fracture Area ◽  
Parts Manufacturing

This paper describes approaches developed for the using of indentation method for evaluating the effectiveness of traditional and innovative kinds of ceramic parts manufacturing. Experimental studies revealed relationship between conditions of the grinding and pulse laser machining with the number and length of cracks, as well as local fracture area during indentation. Essential impact of regimes of these technological processes on the nature of cracks and local fracture formation during indentation of oxide-carbide ceramic surface was disclosed. The analysis of effectiveness of different methods of forming the surface of ceramic parts using the revealed effects was done.

Measuring System Analysis of the Video Equipments for Quality Measurements and Quality Control in the Automotive Industry

2013 ◽  
Vol 371 ◽  
pp. 612-616
Author(s):  
Iulian Alexandru Orzan ◽  
Constantin Buzatu
Keyword(s):  
Quality Control ◽  
Machine Vision ◽  
Production Rate ◽  
Automotive Industry ◽  
System Analysis ◽  
Quality Measurement ◽  
Alternative Solution ◽  
Measuring System ◽  
Serial Production ◽  
Quality Measurements

Verification of each dimension in time and in quality is a problem that can have serious effects over the production rate and the costs of each company. Machine vision it can be defined as machines with their own set of eyes. Using their vision, machines inspect products for defects by detecting the presence or absence of parts, taking measurements, reading codes, etc. In this paper is presented an alternative solution to verify the dimensions and position or presence of the assembly parts according to each specification and the measuring capabilities for the video equipment used in the practical example in order to decide how suitable the video equipment is for serial production and influences over the quality measurement and quality control.

Automatic Inspection System of Small Plastic Gears Based on Machine Vision

2012 ◽  
Vol 522 ◽  
pp. 628-633 ◽  
Author(s):  
Jian Zhe Chen ◽  
Gui Tang Wang ◽  
Jian Qiang Chen ◽  
Xin Liang Yin
Keyword(s):  
Machine Vision ◽  
Template Matching ◽  
Vision System ◽  
Inspection System ◽  
Injection Molding Process ◽  
Automatic Inspection ◽  
Machine Vision System ◽  
Molding Process ◽  
Small Plastic ◽  
Plastic Gears

Small plastic gear is generally made by injection molding.But the injection molding process and mold have problems with missing tooth, shrink, more material, less material and inaccurate roundness and so on. Furthermore, using manual inspection will appear phenomenon of low efficiency, false detection and leak detection. To solve these problems, this paper introduces an automatic inspection system of small plastic gears based on machine vision. The system consists of feeding and sorting machine control system and machine vision inspection system of the gear defects. Mechanical control use digital servo control technology to achieve automatic nesting, feeding, positioning of gear workpiece, and depend on the inspection result of machine vision system to sort. After acquired gear image through a camera, Machine vision system uses median filtering, binarization, edge detection algorithms to process image. Then the system adopts template matching algorithm to obtain the inspection result and send the result to the sorting controller, which achieve automatic smart inspection of gear. The automatic inspection system has accurate, efficient, intelligent and other advantages.

The Assembly Error Detection of Automotive Airbag Based on Machine Vision

2015 ◽  
Vol 738-739 ◽  
pp. 694-698
Author(s):  
Xiao Dong Wang ◽  
Qi Liu ◽  
Wei Zhang
Keyword(s):  
Machine Vision ◽  
Error Detection ◽  
Template Matching ◽  
Assembly Line ◽  
Detection Method ◽  
Ccd Camera ◽  
Processing Method ◽  
Canny Edge Detection ◽  
Canny Edge ◽  
Assembly Error

Based on the principle of machine vision technology, we designed a methodto detect the outline dimensions of automotive airbag quickly and accurately. We Used CCD camera obtain the airbag image, through the image processing method ofsmooth filtering andgray-scale transformationto complete pre-processing, finally applied Canny edge detection operator to extract the boundary of the airbag contour features,and then took the template matching methodto detect assemble error of the airbag image whether meet the requirement.The results show that the detection method have a higher precision, and the time is very short, it can improve the sampled positioningerror detection for the all checks image recognition detection, suitable for application in real-time online detection of airbag assembly line.

Machine Vision System for Inspecting Surgical Blades

2010 ◽  
Vol 139-141 ◽  
pp. 2067-2071
Author(s):  
Shu Yi Wang ◽  
Jie Tan ◽  
Xun Chao Yin ◽  
Hui Fang Wang
Keyword(s):  
Machine Vision ◽  
Template Matching ◽  
Precise Measurement ◽  
Vision System ◽  
Inspection System ◽  
Measuring Range ◽  
One Dimensional ◽  
Maximum Range ◽  
Matching Technique ◽  
Telecentric Lens

In this paper, a surgical blade inspecting system is designed and researched, which can automatic test and determine eligibility according to tolerances. High precision and non-contact detection of surgical blades based on machine vision is realized by using camera with telecentric lens to obtain the image of surgical blades, by applying template matching technique to automatic match surgical blades. One-dimensional edge of sub-pixel accuracy is extracted by combining the edge filtering of the Deriche filter and parabolic fitting for the maximum range from edge. It can be used for precise measurement of different part of surgical blades with different sizes. Extensive experiments showed that measuring range is from 2mm ~ 50mm, measuring accuracy is 10μm and average detection time is 0.6s. Thus the inspection system is fast, accurate and robust to fulfill the industrial demands.

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