Invention Grant
- Patent Title: System and method for adaptive, rapidly deployable, human-intelligent sensor feeds
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Application No.: US15561407Application Date: 2016-03-25
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Publication No.: US10657385B2Publication Date: 2020-05-19
- Inventor: Gierad Laput , Christopher Harrison , Jeffrey P. Bigham , Walter S. Lasecki , Bo Robert Xiao , Jason Wiese
- Applicant: CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Profit Corporation , University of Rochester
- Applicant Address: US PA Pittsburgh US NY Rochester
- Assignee: CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Pro fit Corporation,UNIVERSITY OF ROCHESTER
- Current Assignee: CARNEGIE MELLON UNIVERSITY, a Pennsylvania Non-Pro fit Corporation,UNIVERSITY OF ROCHESTER
- Current Assignee Address: US PA Pittsburgh US NY Rochester
- Agent Michael G. Monyok
- International Application: PCT/US2016/024359 WO 20160325
- International Announcement: WO2016/154598 WO 20160929
- Main IPC: G06K9/00
- IPC: G06K9/00 ; G06N20/00 ; G06K9/03 ; G06K9/62 ; G06N5/04 ; G06N20/10 ; G06Q50/00 ; G06F3/01 ; G06F17/18 ; G06F40/40

Abstract:
The disclosure describes a sensor system that provides end users with intelligent sensing capabilities, and embodies both crowd sourcing and machine learning together. Further, a sporadic crowd assessment is used to ensure continued sensor accuracy when the system is relying on machine learning analysis. This sensor approach requires minimal and non-permanent sensor installation by utilizing any device with a camera as a sensor host, and provides human-centered and actionable sensor output.
Public/Granted literature
- US20180107879A1 System and Method for Adaptive, Rapidly Deployable, Human-Intelligent Sensor Feeds Public/Granted day:2018-04-19
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