From movement detection to real-time adjustments, the process shows how robotics mimic natural human motion.

The broader shift is toward forecasting rather than reacting. Instead of detecting disease only after it crosses a threshold, systems will track trends that indicate future risk. The value of next ...

The demonstrator model, based on Madrid urban conditions, is able to calculate yields but can also be used to evaluate alternative maximum power point tracking (MPPT) algorithms. The team combined ...

The OFIQ software library is intended to support large-scale biometrics programs with information about the usefulness of photos for biometric comparison.

HybridLeg robots Olaf and Snogie use impact-safe design and self-recovery to enable scalable, real-world hardware ...

Six families are suing TikTok, claiming the company's algorithm has a defect, is addictive, and targets minors with ...

The boundaries between consumer convenience and algorithmic misjudgment are narrowing. Devices designed for wildlife ...

Courts are increasingly confronting AI-generated and AI-manipulated evidence land on their dockets. But with innovation comes ...

Structural health monitoring (SHM) and condition monitoring are crucial processes that ensure reliability and safety of ...

This project is a Python-based application that performs real-time motion detection using OpenCV. It processes video streams from a webcam or an uploaded file, identifies moving "blobs," and logs ...