TØNSBERG, Norway, May 21, 2026--poLight ASA will highlight the company’s MLens® and TLens® tunable optics products at 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 ...

In the final analysis, smart factory is not defined by a single technology, but by how technologies work together. Machine ...

Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision system can be deceived by tools no more sophisticated than a pen and a pad. As illustrated in ...

Machine vision systems are serving increasingly crucial roles in life and business. They enable self-driving cars, make robots more versatile, and unlock new levels of reliability in manufacturing and ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Machine vision systems involve a combination of software and hardware, including a camera to capture an image and a computer to analyze it with dedicated algorithms. Those algorithms, termed neural ...

One of the simplest ways to understand a machine vision system is to consider it the “eyes” of a machine. The system uses digital input that’s captured by a camera to determine action. Businesses use ...

Although machine vision may seem like a new concept, we can trace its origins to the 1960s. Back then, machine vision existed as raw image files. A paradigm shift happened with the advent of digital ...

As machine vision systems improve via advances in chip technologies, easier to use software, and lower cost, IoT Analytics (a provider of market insights and business intelligence) took a look three ...