A rapid inspection method for encapsulating quality of PET bottles based on machine vision

2017 ◽  
Author(s):  
Hongwei Xie ◽  
Fan Lu ◽  
Guang Ouyang ◽  
Xiaoqiang Shang ◽  
Zhuan Zhao
Keyword(s):  
Machine Vision ◽  
Inspection Method ◽  
Pet Bottles

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.

scholarly journals A Machine Vision Rapid Method to Determine the Ripeness Degree of Olive Lots

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 2940
Author(s):  
Luciano Ortenzi ◽  
Simone Figorilli ◽  
Corrado Costa ◽  
Federico Pallottino ◽  
Simona Violino ◽  
...  
Keyword(s):  
Machine Vision ◽  
Nearest Neighbors ◽  
Calibration Method ◽  
Mobile App ◽  
Harvest Time ◽  
Automatic Assessment ◽  
K Nearest Neighbors ◽  
Olive Ripeness ◽  
Olive Ripening

The degree of olive maturation is a very important factor to consider at harvest time, as it influences the organoleptic quality of the final product, for both oil and table use. The Jaén index, evaluated by measuring the average coloring of olive fruits (peel and pulp), is currently considered to be one of the most indicative methods to determine the olive ripening stage, but it is a slow assay and its results are not objective. The aim of this work is to identify the ripeness degree of olive lots through a real-time, repeatable, and objective machine vision method, which uses RGB image analysis based on a k-nearest neighbors classification algorithm. To overcome different lighting scenarios, pictures were subjected to an automatic colorimetric calibration method—an advanced 3D algorithm using known values. To check the performance of the automatic machine vision method, a comparison was made with two visual operator image evaluations. For 10 images, the number of black, green, and purple olives was also visually evaluated by these two operators. The accuracy of the method was 60%. The system could be easily implemented in a specific mobile app developed for the automatic assessment of olive ripeness directly in the field, for advanced georeferenced data analysis.

scholarly journals Inspection of Transparent Objects with Varying Light Scattering Using a Frangi Filter

2021 ◽  
Vol 7 (2) ◽  
pp. 27
Author(s):  
Dieter P. Gruber ◽  
Matthias Haselmann
Keyword(s):  
Light Scattering ◽  
Machine Vision ◽  
Nearest Neighbor ◽  
Production Testing ◽  
Transparent Objects ◽  
Frangi Filter ◽  
Anomaly Score ◽  
Difference Images ◽  
New Machine

This paper proposes a new machine vision method to test the quality of a semi-transparent automotive illuminant component. Difference images of Frangi filtered surface images are used to enhance defect-like image structures. In order to distinguish allowed structures from defective structures, morphological features are extracted and used for a nearest-neighbor-based anomaly score. In this way, it could be demonstrated that a segmentation of occurring defects is possible on transparent illuminant parts. The method turned out to be fast and accurate and is therefore also suited for in-production testing.

Application of Machine Vision System in the Precision Inspection

2012 ◽  
Vol 546-547 ◽  
pp. 1382-1386
Author(s):  
Yin Xia Liu ◽  
Ping Zhou
Keyword(s):  
Machine Vision ◽  
Vision System ◽  
Machine Vision System ◽  
Technical Problems ◽  
Application Program ◽  
Precision Inspection ◽  
Machine Parts

In order to promote the application and development of machine vision, The paper introduces the components of a machine vision system、common lighting technique and machine vision process. And the key technical problems are also briefly discussed in the application. A reference idea for application program of testing the quality of the machine parts is offered.

Research on the V/H Inspection of Spiral Bevel Gear before Heat Treatment

2013 ◽  
Vol 483 ◽  
pp. 166-169
Author(s):  
Jia Lun Qiu ◽  
Rui Rong Zhao ◽  
Ying Jie Wang ◽  
Wei Zhao ◽  
Jing Cai Li
Keyword(s):  
Heat Treatment ◽  
Contact Region ◽  
Bevel Gear ◽  
Test Method ◽  
Spiral Bevel Gear ◽  
Basic Definition ◽  
Technical Process ◽  
Inspection Method ◽  
Spiral Bevel

The V / H inspection method is analyzed, including its basic definition, purpose and V / H inspection technical process of Gleason Company. In order to improve the quality of the contact region, Gleasons V / H test method is conducted for V/H inspection of spiral bevel gear before heat treatment, and analysis of experimental data is given.

Nondestructive Inspection Methods for Railroad Castings

2010 ◽  
Author(s):  
Daniel Carter ◽  
Kari Gonzales
Keyword(s):  
Magnetic Particle ◽  
Phased Array ◽  
Field Tests ◽  
Ultrasonic Pulse ◽  
Nondestructive Inspection ◽  
Inspection Method ◽  
Technology Center ◽  
Pulse Echo ◽  
Inspection Techniques

Transportation Technology Center, Inc. (TTCI) has investigated various nondestructive inspection (NDI) methods to determine if they are capable of reliably inspecting side frames, bolsters, knuckles, and couplers. The NDI methods used for this investigation include dry and wet (fluorescent) magnetic particle, liquid penetrant, alcohol wipe, visual, ultrasonic (pulse-echo and phased array), and radiography. Inspection results from all methods were used to determine which methods produced repeatable results. From the initial inspection analysis, TTCI engineers determined that the magnetic particle inspection method is the most capable for detecting defects in railroad castings. Further investigation of the magnetic particle technique was completed to develop reliable inspection methods for use on bolsters, side frames, knuckles, and couplers. Each of the inspection techniques have been used for inspections in the field. Using the results of the field tests, procedures were developed by TTCI and submitted to the Association of American Railroads’ (AAR) Coupling Systems and Truck Castings Committee for review and implementation. The inspection procedures can be used by manufacturers, railroads, and car repair shops. Limitations of the inspection procedures include the amount of time necessary to perform the inspection and the reliability of detecting certain types of defects below the surface of the casting. Although these limitations exist, the procedures developed by TTCI are expected to improve the quality of in-service castings and reduce the number of train partings and derailments due to broken or cracked components.

scholarly journals Fusing Data Processing in the Construction of Machine Vision Systems in Robotic Complexes

2019 ◽  
Vol 224 ◽  
pp. 04009 ◽  
Author(s):  
Aleksandr Zelensky ◽  
Evgenii Semenishchev ◽  
Aleksandr Gavlicky ◽  
Irina Tolstova ◽  
V. Frantc
Keyword(s):  
Machine Vision ◽  
Electromagnetic Interference ◽  
Visual Information ◽  
Vision Systems ◽  
Noise Component ◽  
New Approach ◽  
Common Causes ◽  
Robotic Cells ◽  
Combined Images

The development of machine vision systems is based on the analysis of visual information recorded by sensitive matrices. This information is most often distorted by the presence of interfering factors represented by a noise component. The common causes of the noise include imperfect sensors, dust and aerosols, used ADCs, electromagnetic interference, and others. The presence of these noise components reduces the quality of the subsequent analysis. To implement systems that allow operating in the presence of a noise, a new approach, which allows parallel processing of data obtained in various electromagnetic ranges, has been proposed. The primary area of application of the approach are machine vision systems used in complex robotic cells. The use of additional data obtained by a group of sensors allows the formation of arrays of usefull information that provide successfull optimization of operations. The set of test data shows the applicability of the proposed approach to combined images in machine vision systems.

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