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Evidence record 13188 · automatically gathered

An explainable end-to-end computer vision pipeline for detection, segmentation, and reconstruction of occluded weapons in forensic imagery

IntroductionImages from crime scenes often show partially concealed weapons due to obstructions such as hands and clothing, as well as surveillance camera limitations, which affect the efficacy of traditional detection methods. This work proposes an explainable forensic pipeline for occluded weapons detection, segmentation, and reconstruction.MethodsThe proposed framework integrates RT-DETR-L, a transformer-based weapon detection model; MobileSAM for zero-shot segmentation of visible weapon regi

Record details

Published: 23 July 2026
Source: Frontiers in Artificial Intelligence
Category: Research
Topics: Privacy · Military & security · Transparency
Retrieved: 25 July 2026

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How to cite this record

ethics.ai (23 July 2026), “An explainable end-to-end computer vision pipeline for detection, segmentation, and reconstruction of occluded weapons in forensic imagery,” evidence record 13188, https://ethics.ai/record/13188 (originally published by Frontiers in Artificial Intelligence).

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