Deep learning hasn't (yet) rendered classical computer vision obsolete. Why some challenges are still best solved with traditional algorithms.

Computer vision is fundamental for a broad set of Internet of Things (IoT) applications. Household monitoring systems use cameras to provide family members with a view of what’s going on at home.

Deep learning finds numerous applications in machine vision solutions, particularly in enhancing image analysis and recognition tasks. Algorithmic models can be trained to recognize patterns ...

Computer vision algorithms can check the identity of users, preventing identity theft and providing secure access to cryptocurrency accounts by examining facial features and ID papers. Automated ...

The present state of computer vision technology. Computer vision technology of today is powered by deep learning algorithms that use a special kind of neural networks, called convolutional neural ...

Because deep learning is the most general way to model a problem, it has the potential to solve difficult problems—such as computer vision and natural language processing—that outstrip both ...

AI systems lack common sense, and computer vision models can’t reason as a human would. When they encounter an unexpected scenario that they have never seen before, these models won’t perform ...