Real-time PPE compliance monitoring on construction sites using YOLOv7 and YOLOv8 object detection models

Mohamad Shubqizam, Nur Nuha Natasha and Zulkurnain, Nurul Fariza and Gunawan, Teddy Surya and Md Yusoff, Nelidya and Mansor, Hasmah and Ashraf, Arselan (2025) Real-time PPE compliance monitoring on construction sites using YOLOv7 and YOLOv8 object detection models. In: 11th IEEE International Conference on Smart Instrumentation, Measurement and Applications, ICSIMA 2025, 10-11 September 2025, Kuala Lumpur, Malaysia.

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Abstract

Ensuring personal protective equipment (PPE) compliance on construction sites is critical for preventing injuries and fatalities, yet manual inspections are slow, error-prone, and lack real-time capability. This study presents an automated PPE compliance monitoring system that detects safety helmets and goggles using YOLOv7 and YOLOv8 object detection models. A dataset of 5,500 images, sourced from public repositories and field captures, was preprocessed and annotated in Roboflow. Both models were trained on Google Colab for 50 epochs (batch size 16, image size 640×640) and evaluated using mean Average Precision (mAP), precision, recall, and inference speed. YOLOv7 achieved mAP50 (0.893), precision (0.902), recall (0.845), and inference speed (13.5 ms), outperforming YOLOv8 with mAP50 (0.866), precision (0.856), recall (0.812), and 14.6 ms. Class-wise, YOLOv7 detected safety helmets (mAP50 0.947) and non-goggles (mAP50 0.916). Deployed on a laptop camera, YOLOv7 accurately monitored compliance in both static images and live video. Results highlight YOLOv7’s superior accuracy–speed balance for real-time, on-site safety enforcement. Future work will expand environmental diversity in datasets and explore newer YOLO variants to enhance robustness under challenging site conditions.

Item Type:	Proceeding Paper (Invited Papers)
Uncontrolled Keywords:	Personal Protective Equipment (PPE), YOLOv7, YOLOv8, Object Detection, Construction Safety, Real-Time Monitoring
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices > TK7885 Computer engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering > Department of Electrical and Computer Engineering Kulliyyah of Engineering
Depositing User:	Prof. Dr. Teddy Surya Gunawan
Date Deposited:	29 Jan 2026 09:20
Last Modified:	29 Jan 2026 09:20
Queue Number:	2026-01-Q1870
URI:	http://irep.iium.edu.my/id/eprint/127114

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