Edge artificial intelligence and super-resolution for enhanced weapon detection in video surveillance

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Daniele Berardini, Lucia Migliorelli, Alessandro Galdelli, Manuel J. Marín-Jiménez

Published: 01 Jan 2025, Last Modified: 04 Nov 2025Eng. Appl. Artif. Intell. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•YOLOSR merges Super-Resolution (SR) with YOLOv8 to enhance small weapon detection.•SR boosts training and is discarded at inference, with no extra computational cost.•YOLOSR achieved a 10.2% AP gain compared to YOLOv8, keeping the same real-time speed.•The approach runs at 101ms/image on Jetson Nano, enabling real-time edge inference.•The approach was validated on WeaponSense, a realistic video-surveillance dataset.