An online glass medicine bottle defect inspection method based on machine vision

2015 ◽  
Vol 56 (3) ◽  
pp. 88-94 ◽  
Author(s):  
Xiangqian Peng ◽  
◽  
Xianghua Li
Keyword(s):  
Machine Vision ◽  
Defect Inspection ◽  
Inspection Method

Weld defect inspection based on machine vision and weak magnetic technology

2021 ◽  
Vol 63 (9) ◽  
pp. 547-553
Author(s):  
Jing Ye ◽  
Guisuo Xia ◽  
Fang Liu ◽  
Ping Fu ◽  
Qiangqiang Cheng
Keyword(s):  
Machine Vision ◽  
Average Height ◽  
Defect Inspection ◽  
Welding Seam ◽  
Inspection Method ◽  
Weld Formation ◽  
Weld Defect ◽  
Inspection Process ◽  
Weld Area

This study proposes a weld defect inspection method based on a combination of machine vision and weak magnetic technology to inspect the quality of weld formation comprehensively. In accordance with the principle of laser triangulation, surface information about the weldment is obtained, the weld area is extracted using mutation characteristics of the weld edge and an algorithm for identifying defects with abnormal average height in the weld surface is proposed. Subsequently, a welding seam inspection process is developed and implemented, which is composed of a camera, a structured light sensor, a magnetic sensor and a motion control system. Inspection results from an austenitic stainless steel weldment show that the method combining machine vision and magnetism can identify defect locations accurately. Comprehensive analysis of the test results can effectively classify surface and internal defects, estimate the equivalent sizes of defects and evaluate the quality of weld formation in multiple dimensions.

Defect Inspection for SMD Inductors

2014 ◽  
Vol 635-637 ◽  
pp. 989-992
Author(s):  
Chun Li Chang ◽  
Wen Hong Wu ◽  
Rui Cian Weng ◽  
Chi Hung Hwang
Keyword(s):  
Machine Vision ◽  
High Frequency ◽  
Defect Inspection ◽  
Inspection Method ◽  
Electronic Products ◽  
Electrode Area ◽  
Vision Inspection ◽  
Defect Area ◽  
Machine Vision Inspection

This paper presents a machine vision inspection method for winding high frequency inductors, which affects the reliability and quality of the electronic products. This paper proposes how to quickly and correctly improve the quality of component detection, an important issue for surface mounted device (SMD) inductors manufacturers. SMD components easily damage the phenomenon of the electrode, and the brightness of the brightness of the damaged area of the electrode close to normal, not easy to be precise defect area separated from the electrode area.

INSPECTION AND QUALITY CHECKING OF CERAMIC CUP USING MACHINE VISION TECHNIQUE: DESIGN AND ANALYSIS

2017 ◽  
Vol 79 (5-2) ◽  
Author(s):  
Nursabillilah Mohd Ali ◽  
Mohd Safirin Karis ◽  
Siti Azura Ahmad Tarusan ◽  
Gao-Jie Wong ◽  
Mohd Shahrieel Mohd Aras ◽  
...  
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Machine Vision ◽  
Image Sensor ◽  
Histogram Method ◽  
Inspection Method ◽  
Inspection Process ◽  
Set Up ◽  
Vision Application ◽  
Vision Technique

The development of inspection and quality checking using machine vision technique are discussed where the design of the algorithm mainly to detect the sign of defect when a sample product is used for inspection purposes. There are several constraints that a machine need to be improved based on technology used in vision application. CMOS image sensor as well as programming language and open source computer vision library were used in designing the inspection method. Experimental set-up was conducted to test the proposed technique for evaluate the effectiveness process. The experimental results were obtained and represented in graphical and image processing form. Besides, analysis and discussion were made according to obtained results. The proposed technique is able to perform the inspection process using good and defect ceramic cup based on detection technique. Moreover, based on the analysis gathered, the proposed technique able to differentiate between good and defect ceramic cup. The result shows that there is a difference frequency by 236 which is 2% of total value in pixels frequency. The frequency indicated as pixel frequency of image using histogram method based on scaled value of image.

scholarly journals A Basic Study on Defect Inspection Method for ASIC Manufacturing Lines

2001 ◽  
Vol 121 (2) ◽  
pp. 231-238 ◽  
Author(s):  
Koichi Sakurai ◽  
Susumu Fujii ◽  
Hiroshi Morita
Keyword(s):  
Defect Inspection ◽  
Basic Study ◽  
Inspection Method

Bearing defect inspection based on machine vision

Measurement ◽  
2012 ◽  
Vol 45 (4) ◽  
pp. 719-733 ◽  
Author(s):  
Hao Shen ◽  
Shuxiao Li ◽  
Duoyu Gu ◽  
Hongxing Chang
Keyword(s):  
Machine Vision ◽  
Defect Inspection ◽  
Bearing Defect

Defect inspection system of nuclear fuel pellet end faces based on machine vision

2020 ◽  
Vol 57 (6) ◽  
pp. 617-623
Author(s):  
Bin Zhang ◽  
Mengmeng Liu ◽  
Yongzhi Tian ◽  
Ge Wu ◽  
Xiaohui Yang ◽  
...  
Keyword(s):  
Machine Vision ◽  
Nuclear Fuel ◽  
Fuel Pellet ◽  
Inspection System ◽  
Defect Inspection

A real-time marking defect inspection method for IC chips

2015 ◽  
Author(s):  
Hua Yang ◽  
Buyang Zhang ◽  
Yang Hu
Keyword(s):  
Real Time ◽  
Defect Inspection ◽  
Inspection Method
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