Exploring The Use of Convolutional Neural Networks in UAV Based Rescue Missions

Research Article
Open access

Exploring The Use of Convolutional Neural Networks in UAV Based Rescue Missions

Xuande Andrew Shen 1*
  • 1 Berkshire School, Sheffield, MA, 01257, USA    
  • *corresponding author andrewxdshen@gmail.com
Published on 22 March 2023 | https://doi.org/10.54254/2755-2721/2/20220562
ACE Vol.2
ISSN (Print): 2755-273X
ISSN (Online): 2755-2721
ISBN (Print): 978-1-915371-19-5
ISBN (Online): 978-1-915371-20-1

Abstract

Multi-rotor based flight platforms, especially quadcopters and unmanned aerial vehicles (UAVs), and their embedded avionics have become emerging technologies in rescue operations. Due to the simplicity of mass production, as well as air superiority, rapid deployment and vertical take-off and landing (VTOL) capabilities, autonomous driving will be the next step in rescue operations. This project aims to explore the application of UAV combined with deep learning algorithm in drowning scenario. With the help of Betaflight, create an autonomous flight program that implements specific drowning rescue functions. Deep learning algorithms are critical to developing neural recognition networks for drowning individuals, with pre-programmed flight parameters eliminating the need for human interaction, human error to be precise. The core goal of the project is to improve the success rate of lifesaving solutions through the availability of this technology, a longer operating range than lifeguards, and shorter response times.

Keywords:

machine learning, convolution neural network, UAVs, rescue missions

Shen,X.A. (2023). Exploring The Use of Convolutional Neural Networks in UAV Based Rescue Missions. Applied and Computational Engineering,2,874-883.
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References

[1]. Zhiqiang Chen. (2012). Defect diagnosis of Rotating Machinery Bearing based on convolutional Neural Network. Chinese Journal of Scientific Instrument, 32(1): 1-7. https://doi.org/10.1109/TIM.2021.3055802

[2]. Naidoo Y Stopforth, R, & Bright, G (no date). Development of an UNMANNED aerial vehicle for search and rescue. The IEEE explore. https://doi.org/10.1109/AFRCON.2011.6072032

[3]. Ijeh, A. C., & Curran, K.(2021). Criminal science and digital Forensics: a holistic perspective. CRC Press.

[4]. Feraru v. Anderson, R. E. & Boukas large intestine (no date). To develop an automatic search and rescue system based on UAV to assist search and rescue personnel overboard accidents. IEEE Xplore

[5]. Zhiqiang Wang, Zhiqiang Liu, Zhiqiang Liu, Zhiqiang Xu (2018). Additive Manufacturing (3D printing): A review of materials, methods, applications, and challenges. Composites Part B: Engineering, 143,172-196. https://doi.org/10.1016/j.compositesb.2018.02.012

[6]. Hiebert B., Nouvet, E., Jeyabalan, V., & Donelle, L.(2020). Use of unmanned aerial vehicles in Healthcare and health-related Services in North America: a scoping review. Unmanned Aircraft,4(3),30. https://doi.org/10.3390/drones4030030

[7]. Liu Zhiqiang, Liu Zhiqiang. (2014). Driverless cars are addressing new applications in healthcare, agriculture, as well as the military and security as they become smaller and smarter. Industrial Robot, 41(1), 82-86. https://doi.org/10.1108/IR-03-2013-410

[8]. J. Qi, Song, D, Shang,H. N hua C wu C qi X , and Han Nationality, J. (2015). Search and rescue rotorcraft UAV and its application in Lushan ms7.0 earthquake. Chinese Journal of Robotics, 33(3), 290-321. https://doi.org/10.1002/rob.21615

[9]. Lygouras, E., Santavas, N., Taitzoglou, A., Tarchanidis, K., Mitropoulos, A. And Gasteratos, a. (2019). Unsupervised human detection using embedded vision systems on a fully autonomous UAV for search and rescue operations. Sensor,19(16),3542. https://doi.org/10.3390/s19163542

[10]. Ginsberg, S.ND. Autonomous Drone: Modified a DIY drone kit for autonomous flight. Wash the university. https://doi.org/10.7936/tb5e-8r31

[11]. Anderson, i. (2017). Mechanical properties of samples 3D printed with primary and regenerated polylactic acid. 3D Printing and Additive Manufacturing, 4(2), 110-115. https://doi.org/10.1089/3dp.2016.0054

[12]. Ajgaonkar, K., Khanolkar, S., Rodrigues, J., Shilker, E., Borkar, P., & Braz, E.(North Dakota) to develop a lifeguard assisted UAV for coastal search and rescue. IEEE Xplore. https://doi.org/10.1109/IEEECONF38699.2020.9389382

Cite this article

Shen,X.A. (2023). Exploring The Use of Convolutional Neural Networks in UAV Based Rescue Missions. Applied and Computational Engineering,2,874-883.

Data availability

The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.

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About volume

Volume title: Proceedings of the 4th International Conference on Computing and Data Science (CONF-CDS 2022)

ISBN：978-1-915371-19-5(Print) / 978-1-915371-20-1(Online)
Editor：Alan Wang
Conference website: https://www.confcds.org/
Conference date: 16 July 2022
Series: Applied and Computational Engineering
Volume number: Vol.2
ISSN：2755-2721(Print) / 2755-273X(Online)

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References

[1]. Zhiqiang Chen. (2012). Defect diagnosis of Rotating Machinery Bearing based on convolutional Neural Network. Chinese Journal of Scientific Instrument, 32(1): 1-7. https://doi.org/10.1109/TIM.2021.3055802

[2]. Naidoo Y Stopforth, R, & Bright, G (no date). Development of an UNMANNED aerial vehicle for search and rescue. The IEEE explore. https://doi.org/10.1109/AFRCON.2011.6072032

[3]. Ijeh, A. C., & Curran, K.(2021). Criminal science and digital Forensics: a holistic perspective. CRC Press.

[4]. Feraru v. Anderson, R. E. & Boukas large intestine (no date). To develop an automatic search and rescue system based on UAV to assist search and rescue personnel overboard accidents. IEEE Xplore

[5]. Zhiqiang Wang, Zhiqiang Liu, Zhiqiang Liu, Zhiqiang Xu (2018). Additive Manufacturing (3D printing): A review of materials, methods, applications, and challenges. Composites Part B: Engineering, 143,172-196. https://doi.org/10.1016/j.compositesb.2018.02.012

[6]. Hiebert B., Nouvet, E., Jeyabalan, V., & Donelle, L.(2020). Use of unmanned aerial vehicles in Healthcare and health-related Services in North America: a scoping review. Unmanned Aircraft,4(3),30. https://doi.org/10.3390/drones4030030

[7]. Liu Zhiqiang, Liu Zhiqiang. (2014). Driverless cars are addressing new applications in healthcare, agriculture, as well as the military and security as they become smaller and smarter. Industrial Robot, 41(1), 82-86. https://doi.org/10.1108/IR-03-2013-410

[8]. J. Qi, Song, D, Shang,H. N hua C wu C qi X , and Han Nationality, J. (2015). Search and rescue rotorcraft UAV and its application in Lushan ms7.0 earthquake. Chinese Journal of Robotics, 33(3), 290-321. https://doi.org/10.1002/rob.21615

[9]. Lygouras, E., Santavas, N., Taitzoglou, A., Tarchanidis, K., Mitropoulos, A. And Gasteratos, a. (2019). Unsupervised human detection using embedded vision systems on a fully autonomous UAV for search and rescue operations. Sensor,19(16),3542. https://doi.org/10.3390/s19163542

[10]. Ginsberg, S.ND. Autonomous Drone: Modified a DIY drone kit for autonomous flight. Wash the university. https://doi.org/10.7936/tb5e-8r31

[11]. Anderson, i. (2017). Mechanical properties of samples 3D printed with primary and regenerated polylactic acid. 3D Printing and Additive Manufacturing, 4(2), 110-115. https://doi.org/10.1089/3dp.2016.0054

[12]. Ajgaonkar, K., Khanolkar, S., Rodrigues, J., Shilker, E., Borkar, P., & Braz, E.(North Dakota) to develop a lifeguard assisted UAV for coastal search and rescue. IEEE Xplore. https://doi.org/10.1109/IEEECONF38699.2020.9389382

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