The machine-learning programs that underpin their ability to “see” still have blind spots—but not for much longer ...

Join 10,000+ vision professionals driving innovation in automation, AI and imaging with: New 3D mapping framework combines machine vision and lidar to enhance collision detection and improve safety ...

Discover how Artificial Intelligence is transforming mobile app development in 2026 with trends like hyper-personalization, ...

Abstract: Image segmentation splits the original image into different non-overlapping parts to extract the desired region for various computer vision applications. Diverse methods exist to perform ...

The availability of advanced sensors, artificial intelligence, digital twins, XR and robotics has changed technology-driven markets. We see how the intersection of these mutualistic technologies will ...

Labeling images is a costly and slow process in many computer vision projects. It often introduces bias and reduces the ability to scale large datasets. Therefore, researchers have been looking for ...

Abstract: Achieving timely and accurate snow detection on road surfaces in extreme weather conditions is vital for both transportation and computer vision applications. However, conventional object ...

According to CNBC, Apple is nearing a deal to acquire “talent and technology” of computer vision startup Prompt AI. Here are the details. The report says that Apple’s deal with Prompt seems all but ...