Neural network for bulk sorting
US12046010B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 4, 2020 |
| Grant date | Jul 23, 2024 |
| Priority date | — |
| Expiry date | Dec 11, 2040 |
Classification
- Technology area (CPC Y)Emerging Cross-Sectional Technologies
- CPC primaryY02W90/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A bulk sorting system for sorting objects in bulk is provided. The bulk sorting system includes: at least one radiation source arranged to radiate the objects, at least one optical sensor arranged to capture reflected radiation of the objects and acquire the reflected radiation as multi- or hyperspectral data; a processing circuit configured to analyze the reflected radiation of the objects by inputting the multi- or hyperspectral data into a convolutional neural network (CNN) with at least two convolutional layers in order to either detect and classify the objects in the multi- or hyperspectral data and/or semantically segment the multi- or hyperspectral data; and a mechanical sorter configured to sort the objects according to their classification and/or segmentation using the analysis of the processing circuit such that different overlapping and/or stacked objects are separated or treated as a single group of objects.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.