Measurement and Inspection of Roundness Using Computer Vision (Dept.M)

Gadelmawla, E S; Khalifa, Wael; Elewa, I M

doi:10.21608/bfemu.2020.127536

Cited by 7 publications

(3 citation statements)

References 2 publications

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“…This value emphasizes the geometric roundness tolerance standard by representing the allowable range of deviation from perfect roundness in a circular object. It specifies the acceptable margin of error for the roundness of a part [13,36,37]. This study addressed four ISO 14405-1:2016 modifiers, providing simple algorithms for evaluating circularity errors and investigating the impact of measurement system strategies on these new specifications [38].…”

Section: Previous Studies In Auto-vision Of Inspection Systemmentioning

confidence: 99%

“…The mission is to use machine vision to inspect an automotive camshaft for roundness errors in real time. Further measurement studies are required to improve accuracy and efficiency in roundness error measurement in order to achieve successful roundness evaluation of the part using image processing procedures and mathematical models [10][11][12][13]. Coordinate metrology is an essential inspection tool for ensuring quality in machined workpieces.…”

Section: Introductionmentioning

confidence: 99%

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Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques

Saif,

Rus,

Yusof

et al. 2023

Applied Sciences

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In the era of Industry 4.0, the digital capture of products has become a critical aspect, which prompts the need for reliable inspection methods. In the current technological landscape, the Internet of Things (IoT) holds significant value, especially for industrial devices that require seamless communication with local and cloud computing servers. This research focuses on the advancements made in roundness measurement techniques for industrial automation by leveraging an IoT architecture, computer vision, and image processing. The interconnectedness enables the efficient collection of feedback information, meeting the demands of closed-loop manufacturing. The accuracy and performance of assemblies heavily rely on the roundness of specific workpiece components. In order to address this problem, automated inspection methods are needed. A new method of computer vision for measuring and inspecting roundness is proposed in this paper. This method uses a non-contact method that takes into account all points on the contours of measured objects, making it more accurate and practical than conventional methods. The system developed by AMMC Laboratory captures Delrin work images and analyzes them using a specially designed 3SMVI system based on Open CV with Python script language. The system can measure and inspect several rounded components in the same part, including external frames and internal holes. It is calibrated to accommodate various units of measurement and has been tested using sample holes within the surface feature of the workpiece. According to the results of both techniques, there is a noticeable difference ranging from 2.9 µm to 11.6 µm. However, the accuracy of the measurements can be enhanced by utilizing a high-resolution camera with proper lighting. The results were compared to those obtained using a computer measurement machine (CMM), with a maximum difference of 8.7%.

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Section: Previous Studies In Auto-vision Of Inspection Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Advancements in Roundness Measurement Parts for Industrial Automation Using Internet of Things Architecture-Based Computer Vision and Image Processing Techniques

Saif,

Rus,

Yusof

et al. 2023

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…The measurement of roundness is well-known and commonly used to evaluate and control the quality of cylindrical objects [23]. Roundness is among the important parameters in machined product performance and life [24]. This parameter affects the product safety, functionality and assembly.…”

Section: Introductionmentioning

confidence: 99%

Development of Mobile Augmented Reality to Guide the Roundness Measurement

Azizan,

Hussin,

Mahmod

et al. 2023

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Roundness measurements are used to measure the cylindrical object, which refers to how closely the shape of the object approaches a perfect circle. Measuring the roundness requires a device that can perform measurements with precision. In this study, a roundness measuring machine is used to check the roundness of the object. However, it is difficult for engineering students to operate the machine as most of them lack the necessary skills and information. A set of questionnaires was distributed to 93 students to determine their level of ability to conduct the roundness measurement using a roundness measuring machine. The result showed that students (89.2%) claimed that they tried to operate the machine correctly but found some parts that were difficult to understand. Therefore, mobile augmented reality (AR) was created to support students in operating the machine. Most students have mobile phones for teaching and personal use. In this study, mobile AR with audio was used to guide the students on how to operate the machine. The effectiveness of mobile AR was then investigated. Thirty students were selected to operate the machine using mobile AR. Results demonstrated that 76.7% of students were satisfied when using the mobile AR for the first time, with no mistakes. The results suggest that mobile AR is effective and useful in engineering measurement.

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