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AMP

AMP: AI-powered waste sortation for efficient recycling and reduced labor costs.

AMP Details

AMP Info

Organization:
AMP
Type:
  1. AI Companies
Marked As:
SFW (Safe for Work)
Platform:
  1. Website
Pricing:
  1. Free
From $0
Rating:
0
(11 Likes)

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AMP Robotics is revolutionizing the recycling industry with its cutting-edge artificial intelligence (AI) and robotics technology. As a pioneer in AI-powered sortation, AMP Robotics is dedicated to modernizing recycling infrastructure and maximizing the value of waste. Their flagship AI platform, AMP Neuron™, leverages computer vision to process millions of images, accurately identifying and categorizing materials such as paper, plastics, and metals. This deep learning technology continuously improves, enhancing the precision of material recovery, reducing contamination, and creating high-quality raw materials for resale.

The company’s intelligent robotics system, AMP Cortex™, is designed to meet the essential needs of modern recycling operations. It enables the robotic sorting of materials at a remarkable speed—up to twice as fast as human sorting—and with greater accuracy and consistency. This system can sort various materials, including plastics, cartons, cardboard, aluminum, and even thin film, with granular precision.

AMP Robotics is not just about technology; it’s about redefining the economics of material recovery. By modernizing and expanding recycling infrastructure, AMP aims to produce more high-quality feedstock at lower environmental and economic costs. This approach supports the circular economy, helping manufacturers meet recycled content goals and society’s vision for sustainability.

With hundreds of deployments across North America and Asia, AMP Robotics is a global leader in AI-powered waste sortation. Their solutions are empowering waste and recycling leaders to harness AI, reduce labor costs, increase resource recovery, and deliver more reliable operations. The impact of AMP’s technology is significant, with 90 billion objects recognized annually and real-time data driving operational decision-making, ensuring that recyclables are indeed recycled.

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