In the rapidly evolving fields of computer vision (CV) and machine learning (ML), both software frameworks and hardware ...

Image-based recognition using convolutional neural networks (CNNs), especially architectures like ResNet and YOLO, dominate ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

Estimating the pose of hand-held objects is a critical and challenging problem in robotics and computer vision. While leveraging multi-modal RGB and depth data is a promising solution, existing ...

WorkTango analyzed McKinsey & Company survey data to determine which five AI technologies are most commonly used in ...

Scientists developed a machine-learning tool that can teach itself, with minimal external guidance, to differentiate between ...

In the modern digital transformation era, automotive safety has undergone a paradigm shift with the rise of vision-based safety systems. Mayank Rai, an expert in automotive technology, presents a ...

GlobalSpec recently had the opportunity to ask Szymon Chawarski, product line manager at Teledyne Vision Solutions, about the growing role of AI in machine vision systems and cameras. Chawarski is the ...

GlobalSpec recently had the opportunity to ask Szymon Chawarski, product line manager at Teledyne DALSA, about the growing ...

Revolutionizing digital shopping experiences, artificial intelligence is reshaping how people discover, engage with, and ...