Using imager with on-purpose controlled distortion for inference or training of an artificial intelligence neural network
US12260531B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Nov 17, 2020 |
| Grant date | Mar 25, 2025 |
| Priority date | — |
| Expiry date | Apr 3, 2041 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20084
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for training and using a convolutional neural network with images having on-purpose distortion is disclosed. By distorting on-purpose the image to create zone of interest with higher number of pixels, the resulting output from the neural network is improved. The distorted images are created using an imager device either comprising an optical system specifically designed to output distorted images or comprising software or hardware image distortion manipulation algorithm to create the distorted images from normal images. Also described is a method for training the neural network using a distorted image generator from various existing datasets.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.