Researchers from Skoltech Engineering Center's Hierarchically Structured Materials Laboratory have developed a new method to determine the porosity of fibrous materials using a single image taken with ...

The In-Sight 3800 can inspect up to 1,200 parts per minute, leveraging multi-torch illumination for enhanced surface contrast. Built on hybrid AI, it merges AI-based edge learning with rule-based ...

The human eye can only detect wavelengths in the visible light range, but a new imaging system will let us "see" infrared radiation using smartphones. When you purchase through links on our site, we ...

The need for machine vision is growing across a range of applications, including security, traffic and city cameras, retail analytics, automated inspection, process control, and vision-guided robotics ...

TAIPEI, Taiwan--(BUSINESS WIRE)--Rugged edge computing brand – Cincoze, has launched its new high-performance, scalable DIN-Rail computer series (MD-3000), the flagship model of the Machine Computing ...

A Los Angeles-based startup has demonstrated what it calls a breakthrough in hardware development: an artificial intelligence system that designed a fully functional Linux computer in one week — a ...

What if you could bring the power of artificial intelligence into your hands without needing a PhD in computer science? Imagine a compact device that not only recognizes faces, tracks objects, and ...

Electronic Design is proud to reveal the winners of the 2025 Edge Awards, celebrating pioneers and innovation in design and engineering, as chosen by readers like you. Below are winners and honorees ...

Manufacturing stands at a crossroads where traditional methods intersect with the promise of advanced technology. Machine vision, once a specialized field, is now central to transforming factory ...

The University of Dayton Center of Excellence for Computational Intelligence and Machine Vision (Vision Lab) strives to invent new technologies for sensor-based information extraction and automatic ...

What if you could teach a computer to recognize a zebra without ever showing it one? Imagine a world where object detection isn’t bound by the limits of endless training data or high-powered hardware.