Combining multiple Contact Image Sensors for wide line scanning

Inspection using line-scan sensors is somewhat a niche market within machine vision. Line-scan sensors are used when a very high-resolution image is required to inspect the surface of large, moving, flat objects such as paper, laminates, plastic films, textile,…

SWIR cameras in battery cell production

The production of battery cells is a demanding process that requires the highest levels of quality and safety. In order to ensure the performance and reliability of the batteries, the cells need to be inspected for possible faults or defects during production. SWIR…

Leveraging Machine Vision and Machine Learning for Defect Detection

Machine vision and machine learning have revolutionized defect detection in agriculture, offering an unparalleled combination of accuracy, speed, and scalability. By automating the inspection process, farmers and producers can enhance the quality of their products, reduce waste, and streamline operations. As…

TechSnack: Machine Learning – More GPU. More Edge

In this session, we’re diving deep into the dynamic realm of machine learning, where innovation knows no bounds. Get ready to explore the cutting-edge fusion of “More GPU” and “More Edge”, a convergence that’s…

SWIR cameras in battery cell production

The production of battery cells is a demanding process that requires the highest levels of quality and safety. In order to ensure the performance and reliability of the batteries, the cells need to be inspected for possible faults or defects during…

A new embedded vision Ecosystem (Webinar Recording)

In the inVision TechTalk Webinar on “Embedded Vision”, our Director Product Management Johannes Hiltner presented STEMMER IMAGING MODULAR Embedded in more detail. Learn all about TCP Offload, GenICam compatibility and Line Scan as an edge application.

Why are vision systems so interesting for sports applications?

When athletes compete against each other, vision systems are often involved to check referee decisions, create statistics, or make training more effective. Because with high-resolution images, details can be recognised that are hardly visible to the human eye: Whether it is…