Shebin Jose Jacob has published a new project to the Edge Impulse website providing details on how an Arduino Nicla Vision board has been used to help detect driver drowsiness with FOMO. Once ...

Computer vision use cases ranging from autonomous vehicles to intelligent security systems benefit from this ability to process data in near real-time. Small, discreet CV models that can run on ...

One of the practical upsides of improved computer vision systems and machine learning has been the ability of computers to translate text from one language or format to another. [Jchen] used this ...

AI vision's role is to accelerate the conversion of computer-aided design (CAD) files to 3D models. To do this, you'll need to create and use advanced techniques and algorithms.

Conventional silicon architecture has taken computer vision a long way, but Purdue University researchers are developing an alternative path — taking a cue from nature — that they say is the ...

YOLOE transforms computer vision by using pre-trained visual concepts, eliminating the need for extensive retraining to detect new objects, making it faster and more accessible.

Computer vision has become commonplace across innumerable industries, but the methods of creating and controlling these visual AI models aren't so easy.

(Embedded Vision Summit, booth #518)-- Plainsight, the leader in automated infrastructure for data-centric AI pipelines, today announced the launch of OpenFi ...

Computer vision is transforming AI by enabling machines to "see" and interpret visual data, driving advancements in medical imaging, autonomous vehicles, and traffic monitoring.

Computer vision startup Matrice.ai Inc. said today it has closed on a strategic expansion of its seed funding round, adding to the original investment it first disclosed in May. It didn’t ...

Computer-vision research involves developing algorithms to extract information from images and videos. It can be used to spot cancerous cells, classify animal species or in robot vision.