Latest TOMRA Sorting eBook details the potential artificial intelligence holds for the recycling industry


© TOMRA Sorting Recycling

© TOMRA Sorting Recycling
Imitating human learning, deep learning shows promise to find solutions to sorting challenges where none currently exist.

 

Deep learning is on the rise in the recycling industry, according to the new eBook “Harnessing the Potential of AI” from one of the global leaders in sensor-based sorting, TOMRA Sorting Recycling. Dispelling a common misconception about AI, this latest TOMRA eBook chronicles the long, 30-year history and contributions AI has already made to the recycling industry, as well the bright future that lies ahead.

 

“In the months and years to come, those in the recycling industry will hear much more about deep learning, a powerful component of Artificial Intelligence,” says Daniel Bender, Technical Manager Deep Learning for TOMRA Sorting. “Deep learning shows the promise of providing solutions for the industry’s most complex sorting challenges. Recycling operations at the forefront of using AI to sort material stand to gain a significant advantage over companies who do not.”

 

The free-to-download eBook goes into detail of how deep learning works and learns to identify materials to resolve problems not solvable with classical machine learning. The book claims deep learning holds the key for achieving more consistent detection rates than manual sorting, elevating material purity while lowering costs.

 

To download your English copy of the new TOMRA eBook on AI and Deep learning, please visit https://solutions.tomra.com/ai-ebook.

 

www.tomra.com/recycling

Related articles:

2019-04

TOMRA Sorting Recycling has published a new eBook

The existential threat to oceans and marine life is a good enough reason to cut plastics waste, profitable new business opportunities are another. TOMRA Sorting Recycling has published a new eBook,...

more

Circular visions, small flakes and big data

Over the last decades, resources have been exploited recklessly to satisfy civilization’s infinite demand for resources and virgin products, leading to resources becoming rare and under unprecedented...

more
2020-02

Recycling continues

Dear Readers, when there are many changes, one is happy about the things that form a constant - recovery 02/2020 lies ahead of you with exciting new product developments, new strategies to make...

more

TOMRA SORTING RECYCLING’S NEW E-BOOK ADDRESSES THE NEED TO IMPROVE DEINKING RECYCLING RATES

Downloadable e-book looks at the commercial and regulatory pressures on deinking and recycling paper and cardboard and introduces a new technology which reduces complexity and costs while increasing...

more
2020-02 Artificial Intelligence in sorting technology

GAIN retrofit for AUTOSORT systems

In recent decades, there has been rapid development in this field, in parallel to the ever more rapid evolution of computing technology, an essential precondition for process speed and for the...

more