首页|Patent Application Titled 'Subregion Transformation For Label Decoding By An Aut omated Checkout System' Published Online (USPTO 20240202694)

Patent Application Titled 'Subregion Transformation For Label Decoding By An Aut omated Checkout System' Published Online (USPTO 20240202694)

扫码查看
Reporters obtained the following quote from the background information supplied by the inventors:“Automated checkout systems allow a customer at a brick-and-mo rtar store to select and purchase itemsall without aid from a human attendant. These automated checkout systems may automatically identifyitems that a user co llects as the user collects them. For example, the automated checkout system mayidentify items in images captured by the user’s client device or by cameras att ached to a shopping cartto identify items that the user has collected. In some cases, the automated checkout systems may usemachine-learning models to identif y the collected items. For example, the machine-learning models maybe trained t o identify an item based on a machine-readable label (e.g., a barcode or a QR co de) affixedto the item. U.S. patent application Ser. No. 17/703,076, filed Mar. 24, 2022, describes examplemachine-learning models for decoding machine-readab le labels based on images, the contents of whichare incorporated by reference.

CyborgsEmerging TechnologiesMachine LearningPatent Application

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Jul.5)