Monocular depth prediction and occupancy correction systems and methods for item stow processes
US12406227B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 28, 2023 |
| Grant date | Sep 2, 2025 |
| Priority date | — |
| Expiry date | Mar 12, 2044 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Monocular depth prediction machine learning models may be trained to receive imaging data of inventory holders having translucent bands that at least partially occlude portions of compartments and items of the inventory holders. The monocular depth prediction models may process the imaging data to generate accurate and reliable depth maps for the inventory holders, while substantially ignoring or disregarding the translucent, partially occlusive bands. Further, the depth maps may be utilized by various occupancy correction models to improve determinations related to available storage space within compartments of the inventory holders, thereby improving the accuracy and efficiency of various material handling processes.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.