Researchers at Worcester Polytechnic Institute (WPI) have developed a solid polymer coated with harmless viruses to detect ...

On a March afternoon, artificial intelligence detected something resembling smoke on a camera feed from Arizona’s Coconino National Forest. Human analysts ...

Abstract: Safety in the workplace of industrial environment is a crucial concern, and the manual process of observing the PPE utilization is prone to be full of errors, inefficiency, and inconsistency ...

SAN MATEO, Calif.—Verkada, a provider of artificial intelligence (AI)-powered physical security technology, has announced the launch of four new offices across the U.S. - Atlanta, Chicago, Dallas, and ...

Seventy-five percent of U.S. health systems are now using at least one artificial intelligence application, up from 59% in 2025, a new survey from Eliciting Insights found. The go-to market research ...

Rendering of the Resilient Missile Warning Tracking architecture in Medium Earth Orbit. Credit: BAE Systems Space and Mission Systems WASHINGTON — A missile-tracking satellite constellation being ...

Didi is the VP, Editorial Director at Manifest. In this role, she oversees the development and execution of content for the company’s many clients, which have included IMG Sports Academy, JW Marriott, ...

WYOMING, Mich. (WOOD) — Security is getting tighter at the emergency department at University of Michigan Health-West, with the Wyoming hospital saying it’s working to combat a trend of verbal and ...

Abstract: Safety working culture is an important aspect regulated by law, which requires the use of Personal Protective Equipment (PPE) in high-risk work environments. Based on safety regulations, ...

An AI-powered construction-site safety system that detects four classes of PPE-related objects in real time using YOLOv8. The model identifies helmets, bare heads (violations), safety vests, and ...

Personal Protective Equipment (PPE) Object Detection using YOLOv11 This project provides an advanced Personal Protective Equipment (PPE) detection system using the YOLOv11 deep learning architecture.