Real-Time Survivor Detection System in SaR Missions Using Robots Article Swipe
Kaushlendra Sharma
,
Rajesh Doriya
,
Saroj Kumar Pandey
,
Ankit Kumar
,
G. R. Sinha
,
Pankaj Dadheech
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/drones6080219
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.3390/drones6080219
This paper considers the issue of the search and rescue operation of humans after natural or man-made disasters. This problem arises after several calamities, such as earthquakes, hurricanes, and explosions. It usually takes hours to locate the survivors in the debris. In most cases, it is dangerous for the rescue workers to visit and explore the whole area by themselves. Hence, there is a need for speeding up the whole process of locating survivors accurately and with less damage to human life. To tackle this challenge, we present a scalable solution. We plan to introduce the usage of robots for the initial exploration of the calamity site. The robots will explore the site and identify the location of human survivors by examining the video feed (with audio) captured by them. They will then stream the detected location of the survivor to a centralized cloud server. It will also monitor the associated air quality of the selected area to determine whether it is safe for rescue workers to enter the region or not. The human detection model for images that we have used has a mAP (mean average precision) of 70.2%. The proposed approach uses a speech detection technique which has an F1 score of 0.9186 and the overall accuracy of the architecture is 95.83%. To improve the detection accuracy, we have combined audio detection and image detection techniques.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/drones6080219
- https://www.mdpi.com/2504-446X/6/8/219/pdf?version=1661304150
- OA Status
- gold
- Cited By
- 22
- References
- 32
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4292694640
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4292694640Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3390/drones6080219Digital Object Identifier
- Title
-
Real-Time Survivor Detection System in SaR Missions Using RobotsWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-08-22Full publication date if available
- Authors
-
Kaushlendra Sharma, Rajesh Doriya, Saroj Kumar Pandey, Ankit Kumar, G. R. Sinha, Pankaj DadheechList of authors in order
- Landing page
-
https://doi.org/10.3390/drones6080219Publisher landing page
- PDF URL
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https://www.mdpi.com/2504-446X/6/8/219/pdf?version=1661304150Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://www.mdpi.com/2504-446X/6/8/219/pdf?version=1661304150Direct OA link when available
- Concepts
-
Computer science, Scalability, Real-time computing, Robot, Natural disaster, Process (computing), Search and rescue, Artificial intelligence, Disaster area, Cloud computing, Computer vision, Database, Geography, Operating system, MeteorologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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22Total citation count in OpenAlex
- Citations by year (recent)
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2025: 4, 2024: 10, 2023: 7, 2022: 1Per-year citation counts (last 5 years)
- References (count)
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32Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| publication_year | 2022 |
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