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Recent advances in computer vision and deep learning, particularly Convolutional Neural Networks (CNNs), have significantly increased road safety. CNNs were used in this work to automatically detect and categorise traffi...

Wildfires pose a grave danger and threat to both human health and the environment, which is why early detection of wildfires is crucial. In this study, a convolutional neural network, which is a deep learning technique f...

Maintaining proper posture during exercise is crucial for preventing injuries and maximizing workout efficiency. This project aims to develop a real-time posture monitoring system using MediaPipe and OpenCV to provide in...

Efficient and highly accurate road crack detection algorithms are particularly important in road inspection systems. However, some of their limitations have gradually come to the fore as the target detection aspect has b...

The ability to recognize and distinguish between various textures in an image is made possible by feature extraction, which is a fundamental step in computer vision and image processing. Traditional methods of texture an...

PurposeThe visual accessibility of fonts refers to the range of print sizes and efficiency with which readers can access text. One goal of font design may be to maximize accessibility for a wide range of users including ...

Arnaud Lognon,1 Benjamin Matagrin,1 Emilie Agard,2 Hussam El Chehab,2 Sarah Verrecchia,1,3 Antoine Levron,2 Roman Chudzinski,1 Jeremy Billant,1,2 Axel Goissaud-Mignard,1 Ines Fenniri,1 Corinne Dot1,2 1Department of Ophth...