Advancing Public Safety with Real-Time Life Jacket Detection and Demographic Profiling Using YOLOv8 and Age Classification

Yusuf, Md Abu; Chowdhury, Nur Mohammad; Rone, Ponchanon Datta; Saha, Partha Pratim; Hossan, Md Iqbal; Sarkar, Debabrata; Paul, Ranjan; Hossain, Md Rana; Chakraborty, Madhusodan

Advancing Public Safety with Real-Time Life Jacket Detection and Demographic Profiling Using YOLOv8 and Age Classification

Yusuf, Md Abu and Chowdhury, Nur Mohammad and Rone, Ponchanon Datta and Saha, Partha Pratim and Hossan, Md Iqbal and Sarkar, Debabrata and Paul, Ranjan and Hossain, Md Rana and Chakraborty, Madhusodan (2025) Advancing Public Safety with Real-Time Life Jacket Detection and Demographic Profiling Using YOLOv8 and Age Classification. EAI Endorsed Transactions on AI and Robotics.

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Abstract

This study introduces a robust life jacket identification system that incorporates YOLOv8, FaceNet, and AgeNet for real-time safety surveillance in settings such as beaches, swimming pools, and maritime activities. The YOLOv8 model is applied for detecting life jackets, while FaceNet and AgeNet do

Item Type:	Article
Date Deposited:	04 Mar 2026 20:15
Last Modified:	16 Apr 2026 16:03
URI:	http://eprints.eai.eu/id/eprint/59942

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