This article is part of our coverage of the latest in AI research. A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Meta's new image segmentation models can identify objects and people and reconstruct them in 3D - SiliconANGLE ...

Key market opportunities in runway FOD detection include leveraging advanced vehicle-mounted systems with modalities like infrared and lidar for enhanced precision. Focus on modular, retrofit-friendly ...

AI detects objects in images by using computer vision techniques that analyze the visual features of an image. The process typically involves using a convolutional neural network (CNN) to identify ...

Weed control is essential in apple orchards because weeds compete with trees for nutrients, water and sunlight, which can ...

Kyocera has announced the development of a triple-lens, AI-powered high-resolution depth sensor that’s been designed to ...

Researchers at the University of Windsor developed SH17, a large open-source dataset with 8,099 images and 75,994 labeled ...