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 ...

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have developed two innovative deep-learning ...

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

Abstract: Existing object detection algorithms are often constrained by the high computational costs associated with large network structures in practical applications. To facilitate the development ...

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 ...

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 ...

Presence/motion sensors are one of the best ways to make automations feel more natural, but most of them run on batteries and eventually have to be swapped. That’s one of the main reasons I really ...