Web-based safety eyewear detection system in workplace using machine learning

Zulkurnain, Nurul Fariza and Ahmad, Yasser Asrul and Mohd Nazri, Najla Athirah (2023) Web-based safety eyewear detection system in workplace using machine learning. In: Proceedings of the 9th International Conference on Computer and Communication Engineering, ICCCE 2023, Kuala Lumpur, Malaysia.

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Abstract

Artificial Intelligence (AI) and computer vision have provided various ways to solve problems in our daily life. In this paper, a web-based safety eyewear detection system to detect the presence of safety eyewear in input images or video streams is developed using OpenCV, TensorFlow/Keras, and deep learning. This detection system is necessary to be deployed at risky workplaces such as construction sites to help reduce the risks of accidents and facilitate supervisors to detect workers who do not adhere to the regulations of wearing safety eyewear before entering a construction site. This paper uses a combination of transfer learning techniques using a pretrained MobileNet architecture and Single Shot Detection framework to build a fast and efficient deep learning-based method for safety eyewear detection. With the help of Streamlit, the model is deployed into a web application to provide a user-friendly interface for the users. This web application can detect faces instantly by applying the safety eyewear classifier efficiently and quickly. Experimental results on the dataset collected demonstrated the superior performance of the proposed model with 98% accuracy.

Item Type:	Proceeding Paper (Plenary Papers)
Uncontrolled Keywords:	computer vision, transfer learning, safety eyewear detection, convolution neural networks (CNN), web application.
Subjects:	T Technology > T Technology (General) > T173.5 Technology and Islam T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Dr Ir Yasser Asrul Ahmad
Date Deposited:	29 Sep 2023 11:37
Last Modified:	02 Feb 2024 15:35
URI:	http://irep.iium.edu.my/id/eprint/107159

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