Maplebear Inc.

Sbot Technologies Inc.

Michael Joseph Sanzari

Yilin Huang

Lin Gao

Shiyuan Yang

Ahmed Beshry

Jungsoo Woo

Sarang Zambare

Griffin Kelly

Lindon Gao

Disclosed are technologies for generating training data for identification neural networks. Series of images are captured of a plurality of merchandise items from different angles and with different background assortments of other merchandise items. A labeled training dataset is generated for the plurality of merchandise items. The series of captured images is normalized, where the merchandise occupies a threshold percentage of pixels in the normalized image. The training dataset is extended by applying augmentation operations to the normalized images to generate a plurality of augmented images. Each image is stored in the training dataset as a unique training data point for the given merchandise item it depicts. Labels are generated mapping each training data point to attributes associated with the depicted merchandise item. Input neural networks are trained on the labeled training dataset to perform real-time identification of selected merchandise items placed into a self-checkout apparatus by a user.

Systems and methods for training data generation for object identification and self-checkout anti-theft

Shopping cart

Disclosed herein relates to a system, comprising: at least one load receiver mounted on a shopping cart or basket and configured to receive an item placed into the shopping cart or basket for a weighing operation; a plurality of sensors configured to detect a plurality of parameters relating to the weighing operation of the item including at least one of: a relative angle between a force sensing axis of the at least one load receiver and a direction of gravity, a motion of the shopping cart or basket, and an ambient temperature surrounding the shopping cart or basket and the at least one load receiver; and a processor configured to determine an actual weight of the item based on at least a portion of the plurality of parameters.

Weight measurement adjustment and inhibition based on sensor measurements

System and method for accurate weight measurement

Accurate weight measurement system and method operable with a movable device

Growing community of inventors

Roseland, NJ, United States of America

Michael Joseph Sanzari