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.

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

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.

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Abstract: Abstract: In recent times, deep learning has emerged as one of the powerful tools in the process of object detection. The deep learning algorithms that are used in object detection are ...

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 ...

Soil contamination by environmental pollutants, particularly polycyclic aromatic hydrocarbons (PAHs), can significantly affect human health due to their carcinogenic and mutagenic properties. In this ...