Crime scene analysis using machine learning
US10509988B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Aug 16, 2017 |
| Grant date | Dec 17, 2019 |
| Priority date | — |
| Expiry date | Feb 16, 2038 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N5/147
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
Abstract
Technologies are provided for automated crime scene analysis using machine learning. Firearm models, types, or even specific firearms may be automatically detected from captured audio files or continuous audio streams (e.g., recording microphones) using machine learning techniques. The detection may also be based on (or enhanced by) captured still images or video files/streams. Further information such as crime scene layout, wound types and locations, and similar information may be provided to the analysis service through manual input or automated capture (e.g., through analysis of image/video data). A number of firearms used in the commission of the crime may also be detected. Specific firearm types may be associated with specific crime types. Similar techniques may also be used to detect and classify types and quantity of explosive material.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.