Information-client server built on a rapid material identification platform

This invention describes a system that identifies items in a waste stream moving on a conveyor belt. It uses special cameras that capture images under different types of light, and sometimes from multiple angles to create a 3D view. The system then processes these images to find specific objects, or even to read encoded data like serial numbers from soiled or crumpled surfaces, or to detect contamination. This information can then be sent to other systems or customers.

Why it matters: Since 2020, advancements in deep learning and computer vision have made robust object recognition and data extraction from challenging visual conditions significantly more feasible. This includes improved capabilities for multi-spectral image analysis and identifying encoded data on damaged surfaces, which were more nascent when filed.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedMulti-spectral imaging hardware, advanced computer vision software

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