Abstract: With state-of-the-art computing systems along with Graphical Processing Units a Deep Neural Network can be realized by training on any publicly available dataset in order to detect faces. In ...

This research presents a Driver Drowsiness Detection System (DDDS) that uses a Convolutional Neural Network (CNN) to improve road safety. The system uses a vast dataset of 97,860 images from the ...

Important: This guide assumes you work with OpenCV 2.4.x. Since I no longer work with OpenCV, and don't have the time to keep up with changes and fixes, this guide is unmaintained. Pull requests will ...

remove-circle Internet Archive's in-browser bookreader "theater" requires JavaScript to be enabled. It appears your browser does not have it turned on. Please see ...

Abstract: With the increasing need for automated and efficient attendance monitoring, traditional methods, such as human roll calls and RFID-based systems have limitations in terms of scalability and ...

With the global population surpassing 8 billion, waste production has skyrocketed, leading to increased pollution that adversely affects both terrestrial and marine ecosystems. Public littering, a ...

Congenital Central Hypoventilation Syndrome (CCHS) has devastating consequences if not diagnosed promptly. Despite identification of the disease-defining gene PHOX2B and a facial phenotype, CCHS ...

This project demonstrates the implementation of real-time facial emotion recognition using the `deepface` library and OpenCV. The objective is to capture live video from a webcam, identify faces ...

In the ever-evolving realm of computer vision, the ability to extract and manipulate faces from live stream videos has become an integral part of many applications, ranging from video conferencing to ...

Improving the resolution of medical imaging systems and facial recognition algorithms has given rise to concerns about the identifiability of CT, MRI, and PET image data. In any imaging study ...