How AI is Being Used to Reduce Food Waste

A consistent influx of food waste is an inevitable problem for food businesses. 1.3 billion tons of food is wasted every year, which is roughly $1 trillion, according to the "Food Tank."

Luckily, today, we have more technology companies developing solutions to try to limit food waste. 

Hospitals and their programs, in particular, produce a significant amount of food waste. When patients aren't eating, not only is there more food waste but there is also health implications. 

With that in mind, the Japanese company Hitachi is partnering a hospital to use Artificial Intelligence (AI) to monitor food waste.

This data helps to improve the hospital's meal preparation while also relieving the burden on nurses to check these leftovers. 

"The system works by using a camera mounted on a trolley that collects trays, taking pictures of the leftovers. The company’s deep learning algorithms then examine the images to provide analysis," writes "The Spoon." "By doing this post-meal analysis, Hitachi’s systems can recognize patterns in the leftovers that humans otherwise could not see. Japan Times writes that nurses often check leftovers now, but the task adds to their workloads and they are not trained nutritionists."

The system is still being tested, but could this AI technology be eventually used at all hospitals?

Read more at "The Spoon" now.

Another company combating food waste is FoodMaven. Listen below to the Colorado-based company's co-founder, chairman & CEO Patrick Bultema as he talks about how the online marketplace sells high-quality local and oversupplied food from distributors to restaurant operators.