Abstract: Facial recognition systems are widely used in various applications such as security, healthcare, and authentication, but face significant challenges in uncontrolled environments. Poor ...

Tired of hype and confusing tutorials? This video gives honest, no-fluff advice for beginners starting out in deep learning. Learn what to focus on, what to ignore, and how to make real progress ...

Introduction: Accurate and automated fruit classification plays a vital role in modern agriculture but remains challenging due to the wide variability in fruit appearances. Methods: In this study, we ...

This project implements a sophisticated face recognition system using one-shot learning techniques with deep learning models. The system can recognize faces with minimal training data per person.

In a rapidly digitizing world, where facial recognition is becoming the cornerstone of identity verification, a new comprehensive survey underscores the escalating battle against spoofing attacks.

Real-time object detection is a critical capability in computer vision, enabling systems to identify and localize objects instantly in dynamic environments. Recent advances leverage optimized ...

Explore FaceSpotter, a real-time face detection application powered by OpenCV and dlib. This project enables seamless detection of faces from live webcam feeds, showcasing advanced computer vision ...

Abstract: Construction industry is a very risky industry in which workers' lives are at risk during the construction process because the tendency of any object falling on the head of the worker is ...