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 ...

TØNSBERG, Norway, December 17, 2025--poLight ASA and Image Quality Labs announced an M12-based Raspberry Pi TLens® Studio ...

Cameras are widely used in machine vision applications because they capture high-resolution 2D images, and with techniques ...

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns, shapes ...

Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to “see” far more than just pixel data from sensors, and opening up new opportunities across ...

eWeek content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More Machine vision uses artificial intelligence (AI) to develop ...

OKI Electric Cable (President: Hideo Yamaguchi, Head Office: Isesaki City, Gunma Prefecture), the OKI Group’s electric cable company, will launch two new types of machine vision (Note 1) interface ...

A European research project has developed MV mimicking the cooperation of the eye and nervous system, implemented as ...

Automation engineers must carefully manage the expectations and realities of machine vision systems to avoid project delays or failures. Misconceptions about when to integrate vision inspections often ...

Machine vision systems serve a vast range of industries and markets. They are used in factories, laboratories, studios, hospitals and inspection stations all over the world—and even on other planets.

Machine vision and video streaming systems are used for a variety of purposes, and each has applications for which it is best suited. This denotes that there are differences between them, and these ...

Dr. Chris Hillman, Global AI Lead at Teradata, joins eSpeaks to explore why open data ecosystems are becoming essential for enterprise AI success. In this episode, he breaks down how openness — in ...