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Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes

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Performance of the SABAT Neutron-Based Explosives Detector Integrated with an Unmanned Ground Vehicle: A Simulation

Michał Silarski¹, Marek Nowakowski²

¹Faculty of Physics, Astronomy and Applied Computer Science, Jagiellonian University, 30-348 Cracow, Poland.

Sensors (Basel, Switzerland)

|December 23, 2022

Summary

This study evaluates a neutron activation analysis sensor on a mobile robot for detecting explosives. The system offers non-invasive identification and risk assessment, enhancing security in various environments.

Keywords:

mobile robot neutron activation analysis non-destructive sensors γ spectroscopy

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Area of Science:

Nuclear Physics and Engineering
Robotics and Automation
Security and Threat Detection

Background:

Current methods like metal detectors and georadars lack precise identification capabilities for illicit materials.
The increasing risk of terrorist attacks necessitates advanced, reliable detection solutions.
Neutron activation analysis (NAA) offers non-invasive stoichiometric analysis for accurate object identification.

Purpose of the Study:

To present performance studies of a SABAT collaboration neutron activation analysis sensor integrated with a mobile robot.
To assess the minimal detectable quantity of explosives under diverse environmental conditions.
To detail the functionality of the robotic platform for underwater threat detection and remote operation.

Main Methods:

Performance evaluation of a neutron activation analysis sensor mounted on a mobile robot.
Testing the sensor's capability to detect minimal quantities of common explosives.
Analysis of sensor performance in various environmental conditions, including underwater scenarios.
Description of the mobile robot's platform: electronics, sensors, computing, and communication systems.

Main Results:

The study quantifies the minimal detectable quantity of explosives using the integrated sensor system.
Performance data is provided for different environmental conditions, highlighting system robustness.
The robotic platform's functionality for manual and remote-controlled operation is demonstrated.

Conclusions:

The mobile robot-integrated neutron activation analysis sensor provides effective, non-invasive detection and identification of explosives.
This technology offers a significant advancement over existing detection methods, improving safety and efficiency.
Modular robotics solutions enhance personnel safety and operational flexibility in threat detection scenarios.