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.

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

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.

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 ...

What are some of the key considerations when designing a vision system? What are the questions prospective customers should ask when appraising whether a vision application is feasible, or whether it ...

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 ...

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 ...

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 ...

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 ...

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 ...