Research on the application of intelligent robots in explosive crime scenes

Junwei Guo ()
Additional contact information
Junwei Guo: Railway Police College

International Journal of System Assurance Engineering and Management, 2023, vol. 14, issue 2, No 13, 626-634

Abstract: Abstract In order to reduce the harmfulness of explosion crime to society, this paper improves the coordinate transformation algorithm from the perspective of bomb demolition, and builds a motion control system suitable for EOD robots. Moreover, this article combines image recognition algorithms to improve machine vision, and obtains an intelligent recognition system suitable for EOD robots. In addition, the optical model of the monocular camera is established to calibrate the camera's own parameters, and a series of image processing algorithms are used for visual image processing to obtain the plane position information of the target object. After the robot recognizes the position of the bomb, it gradually approaches the bomb, its coordinates are constantly changing, and the collected data is transmitted to the data processing center to realize real-time control of the EOD robot. Finally, this paper verifies the reliability of the EOD robot through simulation tests.

Keywords: Intelligent system; EOD robot; Crime; Intelligent system (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13198-021-01428-w Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ijsaem:v:14:y:2023:i:2:d:10.1007_s13198-021-01428-w

Ordering information: This journal article can be ordered from
http://www.springer.com/engineering/journal/13198

DOI: 10.1007/s13198-021-01428-w

Access Statistics for this article

International Journal of System Assurance Engineering and Management is currently edited by P.K. Kapur, A.K. Verma and U. Kumar

More articles in International Journal of System Assurance Engineering and Management from Springer, The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().