| Issue |
EPJ Web Conf.
Volume 338, 2025
ANIMMA 2025 – Advancements in Nuclear Instrumentation Measurement Methods and their Applications
|
|
|---|---|---|
| Article Number | 06009 | |
| Number of page(s) | 7 | |
| Section | Nuclear Safeguards, Homeland Security and CBRN | |
| DOI | https://doi.org/10.1051/epjconf/202533806009 | |
| Published online | 06 November 2025 | |
https://doi.org/10.1051/epjconf/202533806009
Portable Compton Camera for Enhanced Radioactive Waste Management
Instituto de Física Corpuscular, CSIC-UV, Spain
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Published online: 6 November 2025
Abstract
The accurate characterization and management of radioactive waste are critical for the safe operation and decommissioning of nuclear facilities. This proceeding summarizes the development, validation, and performance evaluation of a novel Compton-imaging system enhanced with computer-vision techniques. Designed to be portable and cost-effective, this system aims to improve the detection and visualization of lowand medium-level radioactive waste. The system utilizes a state-of-the-art Compton camera integrated with advanced image reconstruction algorithms and real-time computer vision for enhanced performance. Experimental validation at the radioactive-waste disposal plant of El Cabril (Spain) demonstrated the capability of the system to accurately detect and characterize sealed drums of radioactive waste, achieving a technical readiness level of TRL 7. The results highlight the system’s potential for creating detailed 3D tomographic reconstructions and its feasibility as a promising innovation for the nuclear industry, particularly for improving nuclear waste management and decommissioning processes.
Key words: Computer vision / Radiation detector / Compton Imaging / Monte Carlo technique / Machine Learning
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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