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 ...

With all the embedded chip and software advances being made to machine vision systems, potential applications of the technology are expanding. Though some of the following applications cited by IoT ...

[Stay on top of transportation news: Get TTNews in your inbox.] When Bison Transport’s director of safety and driver development presented to the driver advisory board the company’s plans to install ...

Industrial automation is moving beyond rigid rule-based control systems toward environments where machines can interpret ...

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 ...

One of the simplest ways to understand a machine vision system is to consider it the “eyes” of a machine. The system uses digital input that’s captured by a camera to determine action. Businesses use ...

Industrial machine vision, combined with robotics, enables cheese dairies, for the first time, to inspect thousands of wheels ...

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 ...

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 ...

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 ...