PONE-D-24-03693Internal thread defect detection system based on multi-visionPLOS ONE

Dear Dr. Zhang,

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Academic Editor

PLOS ONE

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Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Yes

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2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: Yes

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3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

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4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

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5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: This paper proposed a vision-based method that greatly enhances image acquisition efficiency through an advanced hardware architecture. The paper is well organized, and makes a great significance to the current literatures. Few comments are as follows:

1. The contributions of this study should be proposed clearly.

2. The advantages of the proposed approach should be compared to other current approaches, including Image Preprocessing, Image Stitching, especially Defect Detection.

3. Some quantitative results should be proposed in the conclusion section.

Reviewer #2: This manuscript proposes a vision-based approach that significantly enhances the efficiency of image acquisition through sophisticated hardware architecture and addresses particular challenges in industrial inspection, contributing to the field of internal thread defect detection. However, the paper is deficient in innovation, and there is a notable absence of requisite experimental results and analytical discussion. The author should provide additional experimental data to delineate the methodology's advantages and innovations in comparison to alternative techniques for internal thread defect detection.

(1)In the abstract, the authors are encouraged to include empirical data to delineate the superiority of their approach over manual inspection or other existing methods for detecting internal thread defects, as this would lend greater persuasive power to their claims.

(2)Within the introduction, several alternative methods for internal thread defect detection are mentioned, yet there is a lack of detailed discussion regarding their limitations. To better establish the proposed method's advancement, these shortcomings should be elucidated.

(3)The authors may add more state-of-art computer vision articles for the integrity of the manuscript ( Real-Time Defect Detection for Metal Components: A Fusion of Enhanced Canny–Devernay and YOLOv6 Algorithms; Applied Sciences. 3D vision technologies for a self-developed structural external crack damage recognition robot; Automation in Construction.).

(4)The YOLOv8 model, as trained by the authors for the detection of internal thread defects, must have its training outcomes displayed, including key performance metrics such as recall and precision rates.

(5)Figure 17 lacks clarity. It is recommended that the authors re-upload this image with improved resolution or clarity.

(6)The experimental section is wanting in specific data related to internal thread defect identification, such as the count and percentage of detected defects. The inclusion of this data is recommended.

(7)The conclusion of the manuscript should synthesize the experimental findings to provide a cohesive summary of the research's implications and results.

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Reviewer #1: Yes: Dongming Fan

Reviewer #2: No

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Internal thread defect detection system based on multi-vision

PONE-D-24-03693R1

Dear Dr. Zhang,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Comments from PLOS Editorial Office: We note that one or more reviewers has recommended that you cite specific previously published works in an earlier round of revision. As always, we recommend that you please review and evaluate the requested works to determine whether they are relevant and should be cited. It is not a requirement to cite these works and you may remove them before the manuscript proceeds to publication. We appreciate your attention to this request.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Jean-Christophe Nebel, Ph.D

Academic Editor

PLOS ONE

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: (No Response)

Reviewer #2: (No Response)

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2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: (No Response)

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3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: (No Response)

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4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: No

Reviewer #2: (No Response)

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5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: (No Response)

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6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: (No Response)

Reviewer #2: (No Response)

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7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

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