The CEVA-XM4– CEVA’s most recent vision and imaging platform- builds on the combination of vision algorithm expertise and core architecture know-how and provides a well-tuned vision processor to ...

Computer vision algorithms are analyzing medical images, enabling self-driving cars, and powering face recognition. But training models to recognize actions in videos has grown increasingly expensive.

So, computer vision in smart transportation can resolve this through object detection and name recognition for such vehicles. The machine learning algorithms can identify the vehicle and its ...

AI image recognition has made some stunning advances, but as new research shows, the systems can still be tripped up by examples that would never fool a person. Labsix, a group of MIT students who ...

It uses computer vision and image recognition to make its judgments. It may not seem impressive, after all a small child can tell you whether something is a hotdog or not.

A team of researchers at MIT CSAIL, in collaboration with Cornell University and Microsoft, have developed STEGO, an algorithm able to identify images down to the individual pixel.

Machine vision systems have improved hugely in recent years, but these algorithms can still be tricked by images humans have no problem deciphering. This dataset built by MIT researchers is chock ...

Document Analysis and Recognition. Multilingual handwriting recognition (Indic, Arabic, Asian, Roman scripts) Historical documents processing (Ancient manuscripts, Palm leaves) Automated forms ...

Computer vision, at its core, is pattern recognition. Driven by AI, the technology enables computers to identify objects in images and videos by calculating similarities with patterns it's learned ...

Specifically, the patent was awarded for “Computer-vision content detection for sponsored stories,” which can be used for “applying computer vision algorithms to user-uploaded multimedia ...