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.
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Funding
The research is supported by: Key scientific research projects of Henan Provincial Department of Education: “21B880031” Research on the innovation of Ideological and political education method in Public Security Colleges Based on the theory of network group dynamics; Teaching reform project of Railway Police College: “JY2020010” Research on the three dimensional model of Crime Scene Investigation Training Teaching.
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The authors declared that they have no conflicts of interest to this work. I declare that I do not have any commercial or associative interest that represents a conflict of interest in connection with the work submitted.
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Guo, J. Research on the application of intelligent robots in explosive crime scenes. Int J Syst Assur Eng Manag 14, 626–634 (2023). https://doi.org/10.1007/s13198-021-01428-w
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DOI: https://doi.org/10.1007/s13198-021-01428-w