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Article
Peer-Review Record

Camera-Based Safety System for Optical Wireless Power Transmission Using Dynamic Safety-Distance

Photonics 2024, 11(6), 500; https://doi.org/10.3390/photonics11060500
by Chen Zuo and Tomoyuki Miyamoto *
Reviewer 1: Anonymous
Reviewer 2: Anonymous
Reviewer 3:
Photonics 2024, 11(6), 500; https://doi.org/10.3390/photonics11060500
Submission received: 5 May 2024 / Revised: 20 May 2024 / Accepted: 23 May 2024 / Published: 24 May 2024

Round 1

Reviewer 1 Report

Comments and Suggestions for Authors This paper introduces a new safety approach for Optical Wireless Power Transmission (OWPT), a technology integral to the new kinds of Wireless Power Transmission technology (WPT). This is an important article for this community and is recommended to be accepted.   Comment: 1. The case of the letters on Figure 3, and the size of the block diagram need to be adjusted.

Author Response

"Please see the attachment.

Author Response File: Author Response.docx

Reviewer 2 Report

Comments and Suggestions for Authors

The comments on the manuscript entitled "Camera-based Safety System for Optical Wireless Power Transmission using Dynamic Safety-Distance" by Zuo and Tomoyuki:

 

In this manuscript, the authors identify moving people in a limited indoor environment with RealSense camera D435 and dynamically control the transmission of laser/LED light according to the speed of the object. The manuscript needs to be revised considering the comments and recommendations as follows:

1- What is the maximum range of the camera in this proposed system? Also, considering that depth cameras have variable frame rates in different lighting conditions, what is your solution? Please clarify.

2- The authors should explain the innovation for detecting people with OpenCV, considering that the camera's SDK can calculate the distance to the camera and speed in real time.

3- What is the control mechanism for the light source's emission control and what type of controller was used, along with its coefficients? These issues should be explained and addressed.

4- Why use the proposed method with its existing limitations when existing libraries like gesture recognition in OpenCV can recognize people accurately?

5- What is the response time of the system and can it be implemented on a Raspberry Pi? Please clarify.

6- Finally, the manuscript needs to be carefully edited.

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Reviewer 3 Report

Comments and Suggestions for Authors

This paper is well written and provides a detailed analysis of the experimental results. It would be nice if the following issues could be discussed in detail in the paper.

1. The response speed of the protection system is important, so are there other potential fast protection technologies besides computer vision technology? Please discuss their advantages and disadvantages if possible.

2.In the experimental scenario of this paper, a single obstacle is adopted. Can the protection system still work effectively if multiple obstacles are occured.

3. In my opinion, the algorithm of computer vision is very important. If the algorithm is improved, whether the recognition accuracy and reaction speed of the system can be improved, please give relevant discussion.

 

Comments on the Quality of English Language

The quality of English language of this paper is good

Author Response

Please see the attachment.

Author Response File: Author Response.docx

Round 2

Reviewer 2 Report

Comments and Suggestions for Authors

The authors have tried to revise the manuscript and now the current version can be accepted for publication in Photonics.

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