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Firearms and other weapons pose significant public safety risks due to their widespread accessibility. This research paper investigates automated detection of dangerous objects, specifically guns and persons, to support early intervention in high-risk situations. We present a comprehensive benchmark evaluation using th...
Experimental results demonstrate that the federated LLM-based models consistently outperform a multilayer perceptron baseline, with the LLaMA model achieving up to 99.9% accuracy and F1-score while generalising effectively to previously unseen device types.
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