Implementasi Convolutional Neural Network dalam Mendeteksi Penggunaan Alat Pelindung Diri sebagai Keamanan dan Keselamatan Kerja

Abstract

Personal Protective Equipment plays a big role in minimising the level of injury while working. Because a worker accidentally does not wear personal protective equipment, to reduce it, a prototype system is made to detect the use of personal protective equipment in the form of a dataset of a collection of images that are trained using the Convolutional Neural Network (CNN) method with the Yolov8 algorithm which is part of deeplearning, it is obtained from research systems that can detect personal protective equipment from a Webcam camera with an accuracy rate from the experiment reaching 97% so that the system has shown good performance.