Tracking and Exploring out-of-Control Radioactive Materials in Crowded Scenarios based on the Overlaying of Machine Vision System Images-Radiation Counting Map (Fast and Efficient Method)

Articles in Press

Document Type : Computer Article

Authors

1 Radiation Application Research School, Nuclear Science and Technology Research Institute, AEOI, P.O.Box: 11365-3486, Tehran - Iran

2 Assistant Professor, Radiation applications Research School, Nuclear Science and Technology Research Institute

Abstract

The rapid expansion of nuclear technology on a global scale has heightened concerns regarding the significant risks posed by radioactive materials to both human societies and the environment. In environments characterized by high levels of traffic and congestion, the effective detection and tracking of out-of-control radioactive materials are paramount to ensuring the safety and security of individuals and communities. This study introduces an innovative and efficient method that integrates machine vision system images with radiation-counting maps to precisely identify and explore radioactive materials in densely populated scenarios. Leveraging advanced machine vision technology alongside the capabilities of multi-radiation detectors, this methodology facilitates accurate detection and enables timely responses to potential threats. By aligning image overlay techniques with thorough ray count map analysis, a robust system is established for monitoring and investigating instances of out-of-control radioactive materials. These findings exhibit promising outcomes for enhancing safety protocols in intricate environments, particularly emphasizing the importance of radiation monitoring and the swift identification of out-of-control radioactive materials to safeguard public health and the environment.

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Journal of Modeling in Engineering

Articles in Press, Accepted Manuscript
Available Online from 05 January 2025

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History

  • Receive Date: 02 July 2024
  • Revise Date: 19 October 2024
  • Accept Date: 30 October 2024

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