TY - JOUR
T1 - Detection of dangerous pyrotechnic articles using AI-powered data analysis
AU - Stöckl, Andreas
AU - Nitu, Joel Esengo
PY - 2025/11
Y1 - 2025/11
N2 - While popular for entertainment, pyrotechnic articles can pose safety risks such as injuries, fires, and environmental damage. Illegal or faulty products are often difficult to detect, especially at large events. This study uses AI-based analysis of Amazon product reviews to identify potential hazards. By applying NLP techniques, the system detects issues like malfunctions or unsafe use, helping to flag dangerous products early and support public safety efforts.
AB - While popular for entertainment, pyrotechnic articles can pose safety risks such as injuries, fires, and environmental damage. Illegal or faulty products are often difficult to detect, especially at large events. This study uses AI-based analysis of Amazon product reviews to identify potential hazards. By applying NLP techniques, the system detects issues like malfunctions or unsafe use, helping to flag dangerous products early and support public safety efforts.
U2 - 10.1093/eurpub/ckaf165.109
DO - 10.1093/eurpub/ckaf165.109
M3 - Article
SN - 1101-1262
VL - 2025
JO - European Journal of Public Health
JF - European Journal of Public Health
IS - 35
ER -
