Title:
TRAINING MODEL TO IDENTIFY ITEMS BASED ON IMAGE DATA AND LOAD CURVE DATA
Document Type and Number:
WIPO Patent Application WO/2024/007195
Kind Code:
A1
Abstract:
A smart shopping cart includes internally facing cameras and an integrated scale to identify objects that are placed in the cart. To avoid unnecessary processing of images that are irrelevant, and thereby save battery life, the cart uses the scale to detect when an object is placed in the cart. The cart obtains images from a cache and sends those to an object detection machine learning model. The cart captures and sends a load curve as input to the trained model for object detection. Labeled load data and labeled image data are used by a model training system to train the machine learning model to identify an item when it is added to the shopping cart. The shopping cart also uses weight data and the image data from a timeframe associated with the addition of the item to the cart as inputs.
Inventors:
GAO LIN (US)
HUANG YILIN (CN)
YANG SHIYUAN (CN)
WU GANGLV (CN)
WANG YANG (CN)
PAN WENTAO (CN)
ZHOU XIAO (CN)
LUO YOUMING (CN)
HUANG YILIN (CN)
YANG SHIYUAN (CN)
WU GANGLV (CN)
WANG YANG (CN)
PAN WENTAO (CN)
ZHOU XIAO (CN)
LUO YOUMING (CN)
Application Number:
PCT/CN2022/104146
Publication Date:
January 11, 2024
Filing Date:
July 06, 2022
Export Citation:
Assignee:
MAPLEBEAR INC (US)
International Classes:
G06Q20/18; A47F9/04; G06K11/00
Foreign References:
| US20180218351A1 | 2018-08-02 | |||
| US20180330196A1 | 2018-11-15 | |||
| US20200104594A1 | 2020-04-02 | |||
| US20210407124A1 | 2021-12-30 |
Attorney, Agent or Firm:
KING & WOOD MALLESONS (CN)
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