Metaspectral is Developing Waste-Sorting AI for Better Recycling
Niko Pajkovic — July 27, 2021 — Eco
References: metaspectral
Metaspectral, a Canadian technology company specializing in artificial intelligence and sustainable development, has been awarded over $300,000 in grant funding by the B.C. government to support the development of its AI-powered recycling technology.
Metaspectral plans to combine AI, computer vision, and robotics to create a one-of-kind, waste-sorting technology that's aim is to increase efficiency in material processing and "improve the quality of post-consumer recycled plastic." The technology is being designed to do a job that is near impossible for humans: to differentiate between clear plastics and indistinguishable materials in real-time.
The new technology will support the circular economy for plastics and improve local processing capacities. Certainly, this is a potentially revolutionary technology and one that is sure to be utilized considering the ambitious recycling goals Canada's government has just put into place in 2021.
Image Credit: Metaspectral
Metaspectral plans to combine AI, computer vision, and robotics to create a one-of-kind, waste-sorting technology that's aim is to increase efficiency in material processing and "improve the quality of post-consumer recycled plastic." The technology is being designed to do a job that is near impossible for humans: to differentiate between clear plastics and indistinguishable materials in real-time.
The new technology will support the circular economy for plastics and improve local processing capacities. Certainly, this is a potentially revolutionary technology and one that is sure to be utilized considering the ambitious recycling goals Canada's government has just put into place in 2021.
Image Credit: Metaspectral
Trend Themes
1. AI-powered Recycling Technology - The intersection of AI and robotics with sustainability creates opportunities for innovation in waste-sorting and material processing.
2. Computer Vision in Waste Management - The use of computer vision technology to distinguish between materials in real-time can significantly increase efficiency and improve the quality of post-consumer recycled products.
3. Circular Economy for Plastics - The development of new technologies that support the circular economy for plastics has enormous potential to advance sustainable development strategies worldwide.
Industry Implications
1. Waste Management - The integration of AI, robotics, and computer vision in waste management can lead to significant improvements in material efficiency and recycling processes.
2. Sustainability - Incorporating sustainable technologies in waste-sorting and recycling has become a priority for industries and governments alike, inspiring innovation in sustainable development worldwide.
3. Plastic Manufacturing - Developing more eco-friendly plastics through better recycling technologies is becoming increasingly important in the plastics manufacturing industry, creating opportunities for disruptive innovation.
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