We salute hackers who make technology useful for people in emerging markets. Leigh Johnson joined that select group when she accepted the challenge to build portable machine vision units that work ...

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

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 ...

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.

Advances in additive manufacturing, also known as 3D printing, have generated increasingly powerful capabilities for producing geometrically complex structures that could not be made using ...

Explore examples of GPT-4 with Vision, along with its limitations and potential risks, as it rolls out to ChatGPT Plus and Enterprise users. OpenAI introduced GPT-4 with Vision (GPT-4V), which builds ...

Working on a machine vision project requires understanding each part of the system, including light sources, frame grabbers, and computers. Here is a primer on two essential machine-vision terms.

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 ...

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 ...