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 ...

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 ...

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 ...

Machine vision systems are a staple in production lines for barcode reading, quality control and inventory management. And, as the Industrial Internet of Things (IIoT) continues to expand its reach, ...

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.

Chatbots, in particular, have proven popular across this industry, with natural language processing (NLP) applied to the challenges of dealing with customer inquiries and providing personalized travel ...

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 ...

Next-generation steering technologies for lidar are making machine vision cheaper and more portable. Janelle Shane describes how these advances could apply to autonomous vehicles Edge case: The real ...

Deep convolutional neural networks have taken the world of artificial intelligence by storm. These machines now routinely outperform humans in tasks ranging from face and object recognition to playing ...

In recent years, computer-driven image recognition systems that automatically recognize and classify human subjects have become increasingly widespread. These algorithmic systems are applied in many ...