The imaging and machine vision sector stands at a turning point. As Imaging and Machine Vision Europe reported recently, the European machine vision industry is predicted to return to growth in 2026, ...

AbstractThis research is a personal study that organizes, from the perspective of photographic studies, the fact that ...

Machine vision algorithms for precision measurement integrate advanced image acquisition, processing and analysis to quantify geometric and material properties with sub-millimetre accuracy. Central to ...

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 ...

A team of scientists has created an algorithm that can label objects in a photograph with single-pixel accuracy without human supervision. Called STEGO, it is a joint project from MIT’s CSAIL, ...

You cannot see it all, as they say, especially with 500 exhibitors and 136 speakers to chose from over three days, so here is our list of the talks and presentations not to miss at this year’s VISION ...

Machine vision is increasingly important for many applications, such as object classification. However, relying on conventional RGB imaging is sometimes insufficient - the input images are just too ...

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 ...

Computer vision has evolved into a multidisciplinary field that seeks to enable machines to interpret and understand visual information. At its core lies feature detection, the process of identifying ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...