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 ...

A multinational team of researchers has unveiled a new safety system for autonomous machines ...

Researchers from China in collaboration with international institutions have developed a brain inspired hardware system that accelerates machine vision ...

MONROVIA, Calif.--(BUSINESS WIRE)--SiLC Technologies, Inc. (SiLC), a leader in silicon photonics, today announced $25 million in additional funding to bring the total funding proceeds to date, from ...

Traditional technology companies and startups are racing to combine machine vision with AI/ML, enabling it to “see” far more than just pixel data from sensors, and opening up new opportunities across ...

Robots are capable of incredible feats well beyond human abilities: Guinness World Records recognizes the Fanuc Corporation’s M-2000iA/2300 Super Heavy Payload Robot as the world’s strongest, capable ...

Over the past decades, computer scientists have developed increasingly sophisticated sensors and machine learning algorithms that allow computer systems to process and interpret images and videos.

As machine vision systems improve via advances in chip technologies, easier to use software, and lower cost, IoT Analytics (a provider of market insights and business intelligence) took a look three ...

Similar in complexity to voice recognition, machine vision involves the ability of a computer to see, employing one or more video cameras, analog-to digital conversion (ADC) and digital signal ...