Few technologies today are as disruptive or show as much potential as artificial intelligence. AI is everywhere, from your phone to factory floors, and it can take many different forms. One of the ...

Machine vision refers to a computer being able to see. Often, the computers use different cameras for video, Analog-to-Digital Conversion), and DSP (Digital Signal Processing) to see. After this, the ...

"Sensing Intelligence and Machine Learning" describes the combination of artificial intelligence (AI) and machine learning (ML) approaches with sensor technologies. This fusion improves sensor ...

SANTA CLARA, Calif.--(BUSINESS WIRE)--OMNIVISION, a leading global developer of semiconductor solutions, including advanced digital imaging, analog, and touch & display technology, today announced ...

With all the embedded chip and software advances being made to machine vision systems, potential applications of the technology are expanding. Though some of the following applications cited by IoT ...

A cluster of articles focusing on machine vision has landed on Machine Design. This week (Aug. 12-16), content will be hyper-focused on a topic our editors and contributors have explored for the past ...

MONROVIA, Calif.--(BUSINESS WIRE)--SiLC Technologies, Inc. (SiLC), a leader in silicon photonics, today announced $25 million in additional funding to bring the total funding proceeds to date, from ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Machine vision and embedded vision systems both fulfill important roles in industry, especially in process control and automation. The difference between the two lies primarily in image processing ...

Computer vision and machine learning (which I would unite using an umbrella term like "artificial intelligence") have impressive cross-industrial applications for quality control. Each sphere that ...

Working on a machine vision project requires understanding each part of the system, including light sources, frame grabbers, and computers. Here is a primer on two essential machine-vision terms.