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.

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.

Rotary Tray for Machine Vision Inspection of Whole Eggplant Fruit

2006 ◽  
Author(s):  
Naoshi Kondo ◽  
Junzo Kamata ◽  
Kazunori Ninomiya ◽  
Mitsuji Monta ◽  
K.C. Ting
Keyword(s):  
Machine Vision ◽  
Vision Inspection ◽  
Machine Vision Inspection
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