Glitch detection system
US12066883B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Sep 10, 2020 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Sep 10, 2040 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06T2207/20081
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
The present disclosure provides a system for automating graphical testing during video game development. The system can use Deep Convolutional Neural Networks (DCNNs) to create a model to detect graphical glitches in video games. The system can use an image, a video game frame, as input to be classified into one of defined number of classifications. The classifications can include a normal image and one of a plurality of different kinds of glitches. In some embodiments, the glitches can include corrupted textures, including low resolution textures and stretched textures, missing textures, and placeholder textures. The system can apply a confidence measure to the analysis to help reduce the number of false positives.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.