This invention describes a system for robots to better identify objects. It works by first trying to visually recognize an object using existing models. If that doesn't work, or to get more information, it scans a visual identifier (like a barcode or QR code) on the object to retrieve detailed data about it from a web address. This data is then used to create a new, more complete model of the object, which can be stored for future use.
Why it matters: Filed before the widespread availability of highly accurate, pre-trained deep learning models for object recognition and more powerful edge computing hardware. The core software components for visual recognition and model generation are now significantly more robust and easier to implement.
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