Invention Grant
- Patent Title: Crime scene analysis using machine learning
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Application No.: US15678518Application Date: 2017-08-16
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Publication No.: US10509988B2Publication Date: 2019-12-17
- Inventor: Muiris Woulfe , Andreas Balzer
- Applicant: MICROSOFT TECHNOLOGY LICENSING, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Newport IP, LLC
- Agent Michael C. Johnson
- Main IPC: G06K9/62
- IPC: G06K9/62 ; G06Q50/26 ; G06K9/36 ; G10L15/02 ; G11B27/10 ; H04N21/4415 ; H04N5/00 ; H04N5/14

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.
Public/Granted literature
- US20190057286A1 CRIME SCENE ANALYSIS USING MACHINE LEARNING Public/Granted day:2019-02-21
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