In food drying applications, machine learning has demonstrated strong capability in predicting drying rates, moisture ...

Food waste makes up an estimated 30% to 40% of the food supply, according to the U.S. Department of Agriculture — and now a London company is using artificial intelligence in an attempt to address the ...

Manufacturing stands at a crossroads where traditional methods intersect with the promise of advanced technology. Machine vision, once a specialized field, is now central to transforming factory ...

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 ...

We are living in an age of turbocharged commerce and next-level consumer expectations. Customers will not hesitate to return a product that has a scratch or a food item past its expiration date.

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 ...

Machine vision systems are becoming increasingly common across multiple industries. Manufacturers use them to streamline quality control, self-driving vehicles implement them to navigate, and robots ...

The emerging role of dedicated vision processors. The different functions of a vision processor and a GPU. Some of the applications in which a vision processor can be appropriate. Systems that ...