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 ...

The global market for machine vision (MV) systems is expected to grow from $15.9 billion in 2025 and is projected to reach $24.6 billion by the end of 2030, at a compound annual growth rate (CAGR) of ...

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 ...

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 ...

The emerging role of dedicated vision processors. The different functions of a vision processor and a GPU. Some of the applications in which a vision processor can be appropriate. Systems that ...

With its ability to help automate quality control, guide flexible pick-and-place systems, and simplify inventory tracking procedures, machine vision is of growing importance to industrial automation ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.

is a senior reporter who has covered AI, robotics, and more for eight years at The Verge. Researchers from machine learning lab OpenAI have discovered that their state-of-the-art computer vision ...

We are living in an age of turbocharged commerce and next-level consumer expectations. Customers will not hesitate to return a product that has a scratch or a food item past its expiration date.

Communication is key in relationships — and that includes those between the operator of an inspection system, its process controls, and the vision equipment used to inspect that process. New ...