Method for improper product barcode detection
US10769399B2 · kind B2 · utility
1Cited by
0References
17Claims
0Family size
Assignee
Inventors
Key dates
| Filing date | Dec 18, 2018 |
| Grant date | Sep 8, 2020 |
| Priority date | — |
| Expiry date | Dec 18, 2038 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06N3/045
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Techniques are provided for detecting an improper barcode using a neural network trained to identify an object from physical features appearing in images of object, and without resorting to using a barcode or other indicia to identify the object. The neural network is self-training, updating itself with selected images obtained at a Point-of-Sale. That is, the neural network is capable of training itself while performing improper barcode detection operations, such as spoofing detection.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.