Generating training data for automatic vehicle leak detection
US10296816B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Jan 11, 2017 |
| Grant date | May 21, 2019 |
| Priority date | — |
| Expiry date | Jul 16, 2037 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V10/56
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
A vehicle controller receives images from a camera upon arrival and upon departure. A location of the vehicle may be tracked and images captured by the camera may be tagged with a location. A departure image may be compared to an arrival image captured closest to the same location as the arrival image. A residual image based on a difference between the arrival and departure images is evaluated for anomalies. Attributes of the anomaly such as texture, color, and the like are determined and the anomaly is classified based on the attributes. If the classification indicates an automotive fluid, then an alert is generated. A machine learning algorithm for generating classifications from image data may be trained using arrival and departure images obtained by rendering of a three-dimensional model or by adding simulated fluid leaks to two-dimensional images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.