The waste crisis is devastating our planet. A lot of the stuff we throw gets dumped in landfills. These massive waste disposal sites are often created by destroying forests or inhabitable lands. For example, the United States has lost land roughly the size of the state of Maryland to landfills.Artificial Intelligence is emerging as a powerful tool to help sort waste and divert recyclable materials away from landfills.
Their data and robotics platform, RecycleOS, can sort objects with over 95% accuracy. “Our AI provides accurate data on the shape, size, weight, material, packaging type, commodity value, and even brand information of every recyclable flowing through the plant,” JD Ambati, founder and CEO of EverestLabs, told me.
Accurately identifying recyclable materials, such as fiber, PET, HDPE, or black plastic, helps reduce contamination rates and increase the purity of recyclables. For example, Glacier’s robots can be trained to identify and remove plastic bags that accidentally end up in the paper stream. This makes the quality of the end paper product higher and more valuable.
Additionally, intelligent sorting systems can unlock novel value-creation opportunities. For example, if a buyer is looking for a specific type of recycled plastic material, say a white-colored, post-consumer polypropylene - this is possible thanks to AI-driven sortation systems that can see, remember, and act by separating the desired type of waste in real-time.Meeting sustainability goals calls for an ability to benchmark and track performance.
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