One company leads in machine vision for automation, while the other powers energy-efficient electronics, both with distinct ...

One company is racing ahead with rapid revenue growth but deep losses, while the other boasts strong cash flow and market ...

AI is changing machine vision, but not in the way many manufacturers expect. Matt Moschner, CEO of Cognex, explains where AI ...

Environmental threats to machine vision cameras don't have to mean downtime. Here's how engineers and operators can protect ...

A recent machine vision report suggests growth was underpinned by strong advancements in 3D cameras and vision software.

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 ...

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 ...

Across New York City, signposts are being fitted with a new generation of traffic sensors. These sensors count pedestrians, ...

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 ...

The trend reflects growing demand for OMNIQ’s AI Machine Vision based technology, such as vehicle recognition and intelligent ...

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 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 ...