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This system helps determine if a product is authentic. It works by collecting sensor data from a product and comparing it to a history of past authentications for similar items. If the product's current data looks significantly different from its history, the system consults external data sources for a more thorough verification. Otherwise, it relies on its stored authentication records. The claims specify using an external interface to identify remote sensors based on their communication strength.
Why it matters: Since 2018, advancements in machine learning have significantly improved pattern recognition and anomaly detection, making the core task of identifying products from sensor data and checking for substantial similarity more robust. Additionally, the maturation of cloud infrastructure and distributed ledger technologies offers more scalable and trustworthy ways to manage authentication and remote data.
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