AI FLYinVision™
AI FLYinVision™ takes optical sorting to the next level. Thanks to artificial intelligence and deep learning, this technology combines speed, precision, and the ability to recognize complex materials, ensuring purer flows and more efficient systems.
Technology Introduction
AI FLYinVision™ represents one of the most advanced solutions in the field of materials sorting, combining the power of artificial intelligence with a high-speed visual inspection system. Thanks to an advanced neural network, this technology is able to analyze and recognize complex materials with a precision that far exceeds the capabilities of the human eye.
The heart of the system: deep learning
The heart of the system is a deep learning engine optimized for the recycling sector and supported by one of the most comprehensive libraries of waste image data currently available on the market. This database allows AI FLYinVision™ to continuously improve its performance, honing its ability to distinguish even the most similar materials.
Ultrafine details and high precision
A distinctive feature of the technology is its ability to capture multidimensional features and ultrafine details, often imperceptible to traditional analysis. This means that AI FLYinVision™ not only identifies key materials, but can also detect contaminants and minimal impurities, ensuring purer sorting flows and superior final quality.
Speed and Operational Efficiency
From an operational standpoint, the system stands out for its processing speed: it is designed to support high-performance production lines without compromising accuracy. This makes it the ideal solution for plants that process large volumes of material and require a combination of productivity and reliability.
Concrete benefits and added value
The adoption of AI FLYinVision™ not only improves the quality of the sorted product, but also increases the overall efficiency of the plant, reducing waste, optimizing operating costs, and increasing profitability. This technology not only meets the industry’s current needs, but also paves the way for a new benchmark for the future of smart recycling.