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 ...

EZ Systems announced that its automated inspection tool EZ Eye is accelerating AI training for machine vision inspection applications, enabling a 55% reduction in the work hours required to train deep ...

Demos include PC-based and FS42 camera-based deep learning optical character recognition, deep learning anomaly detection on the newly launched Zebra NS42 camera (Credit: Zebra) Machine vision, edge ...

Despite the manufacturing slump, DVT's chairman, Robert Steinke, reports strong revenue growth from solving challenges in automated inspection. Steinke: We've barely scratched the surface when it ...

Manufacturing stands at a crossroads where traditional methods intersect with the promise of advanced technology. Machine vision, once a specialized field, is now central to transforming factory ...

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 ...

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 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 ...

According to MarketsandMarkets™, the Machine Vision Camera Market is expected to grow from USD 6.73 billion in 2025 to USD 10 ...

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 ...

Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...