Importance

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Abstract

Examples provide transaction validation through currency verification via computer vision and machine learning performed on images of non-currency and currency items from image capture devices associated with a currency environment. The results may be delivered by augmented reality (AR). Automation of currency verification and transaction validation during a transaction concludes the transaction more efficiently than manual verification and validation, increasing the amount of transactions per unit time. Examples using AR features can verify currency tendered and change made in real-time and identify foreign and counterfeit currency for removal. Examples incorporating AR features increase efficiency for fully-sighted providers and customers, while utilizing audio or braille output accommodates the visually impaired. Examples may indicate both what types and amounts of currency must be requested or discarded. Image analytics that verify correct tender and change is made in real time combined with AR provide unprecedented transaction efficiency.

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First Claim