Sparta’s ERS Indicates the Use of a Unique Nanotechnology Designed to Recycle the Unrecyclable Also Offers Opportunity for Significant Operational Efficiencies
ACCESS Newswire · Sparta Group

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TORONTO, ON / ACCESSWIRE / December 5, 2024 / Sparta Group (TSXV:SAY) (the "Corporation", the "Company", "Sparta Group", "Sparta Capital", "SAY.V" or "Sparta", reports that its e-waste division, ERS is poised to do what was once considered ‘Impossible" in the recycling industry - identify hard to recycle waste materials and sort them ultimately for reuse. It's part of a move by the Company to not only recycle the unrecyclable using the A.I powered NeoSort nanotechnology, but also make the processing of waste recycling even more efficient.

"It's exciting to know ERS will be able to identify and sort items that previously the world struggled to identify and therefore recycle. It is also huge for the company in the sense that NeoSort will make processing waste a lot faster and efficient. Efficiency at this level equals savings," said Sparta President, Tony Peticca.

A quick review of the NeoSort website will give you a glimpse inside some of the efficiencies ERS is hoping to capitalize on. For example, the nanotech is described as capable of delivering an ROI (Return on Investment) of 65 percent in the first year. According to market analysts, a good ROI on a new piece of technology is typically 20 to 40 percent. In the case of NeoSort, the founders state that the CAPEX (Capital Expenditures) associated with their nanotechnology can be reduced by up to 85 percent.

In a recent news release, Sparta announced that it would have exclusive rights to apply the nanotechnology, NeoSort to e-waste recycling in Canada.

The Powerful Technology

Electronic waste is not only made of metallic materials. Generally, up to 60 percent of total weight in electronics can be plastics. NeoSort combines the power of Lidar (Light Detection and Ranging) and lights into reading of sub-atomic levels of any material. With the help of AI (Artificial Intelligence), the machines scan any material while moving on the conveyor belt at a speed of ten million times per second. Essentially, every shredded piece on the conveyor belt is scanned almost one thousand times before being separated, so the accuracy of the sort ends up being eight hundred and fifty times more than any conventional sorting machine in existence. This can lead to an accuracy rate of 98 to 99 percent at a speed of approximately five metric tonnes per hour. The end goal following the identification and sorting of waste materials is to see materials funneled back into the manufacturing stream, thus achieving full circularity.