Machine learning item delivery using sensor data
US11941572B1 · kind B1 · utility
1Cited by
0References
20Claims
0Family size
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Key dates
| Filing date | Mar 16, 2021 |
| Grant date | Mar 26, 2024 |
| Priority date | — |
| Expiry date | Jul 24, 2042 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04W4/80
- WIPO fieldDigital communication
- WIPO sectorElectrical engineering
Abstract
Various embodiments are disclosed for providing machine learning routines with peripheral device data to infer driver activity and location. Peripheral device data may be collected on a peripheral device having a machine learning routine executing thereon to infer driver activity and perform improved estimation of driver location. Using driver activity and location estimation, contextually relevant delivery workflow assistance may be automatically provided to a delivery driver or other individual without requiring manual input, thereby improving driver safety and operational efficiency.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.