Field-deployable real-time AI System for chemical warfare agent detection using YOLOv8 and colorimetric sensors

Chemical warfare agents (CWAs) pose serious risks, requiring rapid, accurate detection. This study presents a real-time, lightweight AI system using YOLOv8 and colorimetric sensors, designed for field deployment. A dataset of 1,340 images captured under varying conditions enhances robustness. The model achieves 91.3% mAP@0.5 and 10.4 ms/frame inference time on portable hardware. This system bridges the gap between laboratory methods and scalable field detection, ensuring efficient, on-site CWA identification for military, emergency response, and public health applications.