A new Trust Center created by Oz Forensics aims to raise the bar for transparency in face biometrics and liveness detection. “The Trust Center exists to answer the question every serious buyer ...

Abstract: To resolve the shortcomings of low face detection Hit Rate high computational complexity on face Instance Detection tasks, an improved YOLOv8-based face detection algorithm is proposed. The ...

Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...

When it comes to cancer, the earlier you know you have it, the better chance you have at beating it. That’s the idea behind a new, portable breath analyzer meant to detect lung cancer with just a few ...

AI content has proliferated across the Internet over the past few years, but those early confabulations with mutated hands have evolved into synthetic images and videos that can be hard to ...

The electrical grid is a crucial, sometimes fragile, piece of infrastructure. As connectivity to the grid increases, so too does its vulnerability. Public Service Company of New Mexico, the state’s ...

Abstract: Facial landmark detection (FLD) is an important task in computer vision, involving the extraction of keypoints from facial images. Traditional methods typically employ a two-stage approach: ...

This project integrates MediaPipe Solutions with Node.js and Express for real-time computer vision tasks. It showcases examples of image segmentation, hand and face detection, and pose detection, with ...