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Article

Evaluation of Human Behaviour Detection and Interaction with Information Projection for Drone-Based Night-Time Security

1
Guraduate School of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu 525-8577, Japan
2
College of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu 525-8577, Japan
*
Author to whom correspondence should be addressed.
Drones 2023, 7(5), 307; https://doi.org/10.3390/drones7050307
Submission received: 15 March 2023 / Revised: 29 April 2023 / Accepted: 3 May 2023 / Published: 5 May 2023
(This article belongs to the Special Issue Advances of Drone Development in Japan)

Abstract

Night security is known for its long hours and heavy tasks. In Japan, a labor shortage of security guards has become an issue in recent years. To solve these problems, an increasing number of robotic security methods are being used. However, several problems exist with existing security robots. For example, wheeled robots traveling on the ground have difficulty in dealing with obstacles such as steps, while most drones are only for monitoring and do not have a function to help people. In this study, an aerial ubiquitous display (AUD) night security drone has been developed to solve the problems of existing security robots. The AUD is equipped with an infrared camera and a projector to detect human behavior at night and present information to people in need. In this paper, an experiment was conducted with the AUD to evaluate whether it can provide adequate nighttime security. In the experiment, real-time monitoring and information projection from the air were achieved. In addition, new security methods using the AUD were shown to be effective. Replacing security guards with the AUD to provide security at night will improve labor shortages in the future, and better security methods will be developed.
Keywords: security drone; human–drone interaction; infrared camera; projector security drone; human–drone interaction; infrared camera; projector

Share and Cite

MDPI and ACS Style

Kakiuchi, R.; Tran, D.T.; Lee, J.-H. Evaluation of Human Behaviour Detection and Interaction with Information Projection for Drone-Based Night-Time Security. Drones 2023, 7, 307. https://doi.org/10.3390/drones7050307

AMA Style

Kakiuchi R, Tran DT, Lee J-H. Evaluation of Human Behaviour Detection and Interaction with Information Projection for Drone-Based Night-Time Security. Drones. 2023; 7(5):307. https://doi.org/10.3390/drones7050307

Chicago/Turabian Style

Kakiuchi, Ryosuke, Dinh Tuan Tran, and Joo-Ho Lee. 2023. "Evaluation of Human Behaviour Detection and Interaction with Information Projection for Drone-Based Night-Time Security" Drones 7, no. 5: 307. https://doi.org/10.3390/drones7050307

APA Style

Kakiuchi, R., Tran, D. T., & Lee, J.-H. (2023). Evaluation of Human Behaviour Detection and Interaction with Information Projection for Drone-Based Night-Time Security. Drones, 7(5), 307. https://doi.org/10.3390/drones7050307

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