Optimal cargo space utilization based on detection of items
US11574282B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Dec 20, 2019 |
| Grant date | Feb 7, 2023 |
| Priority date | — |
| Expiry date | Dec 7, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N20/10
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method, computing system, and computer program product are provided. Items at a source location are detected and classified, with respect to fragility and perishability, based on characteristics of the each respective item and is performed by trained machine learning models. Item boundaries are predicted based on applying respective data regarding points on a surface of the each respective item to a trained second machine learning model to predict the item boundaries. The each respective item is classified into a respective group with respect to an available volume of the cargo space based on sensor data of the cargo space, the classified fragility and perishability, the predicted item boundaries, and a third machine learning model. An arrangement of the items in the cargo space is determined based on the group classifications and a corresponding destination location associated with the each respective item and is visualized relative to the cargo space.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.