In an environment defined by labor shortages, rising uptime expectations and pressure to improve overall equipment effectiveness (OEE), simple data collection is no longer enough.

Rail Vision’s MainLine system uses advanced sensing and analytics to detect and classify potential hazards and alert train operators at distances up to 2,000 meters ahead of the train.

Sand has a memory of sorts. Press into a loose pile of dry grains and something moves, not just where your finger sits, but ...

Abstract: The aim of this research is to improve accuracy and efficiency with regard to product defect detection using a deep learning based hybrid model. It combines preprocessing, segmentation, ...

Android Malware Detected Using Machine Learning to Automatically Detect and Click on Ads The malware can switch to a signalling mode that allows attackers to manually scroll and tap through a live ...

Amirali Aghazadeh receives funding from Georgia Tech. When NASA scientists opened the sample return canister from the OSIRIS-REx asteroid sample mission in late 2023, they found something astonishing.

Collisions between marine vessels and stationary structures, like offshore oil platforms and depleted wellheads, are becoming increasingly common. These collisions come with a cost—including the ...

ABSTRACT: Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...

A simple yet powerful real-time object detection system using YOLOv3 and OpenCV. This project demonstrates the integration of deep learning with computer vision to detect and classify objects from ...