Invention Grant
- Patent Title: Devices and methods using machine learning to reduce resource usage in surveillance
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Application No.: US16390049Application Date: 2019-04-22
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Publication No.: US10657444B2Publication Date: 2020-05-19
- Inventor: Thomas Danaher Harvey
- Applicant: Thomas Danaher Harvey
- Main IPC: G06N3/08
- IPC: G06N3/08 ; G06K9/62 ; G06N20/20

Abstract:
A method and system where a first subsystem makes observations and performs surveillance using sensors in a mode that conserves a resource such as power, data transmission band width or processing cycles. This is accomplished by reducing illumination, pixel count, sampling rate or other functions that result in a limited granularity or data collection rate. A machine model is applied to the limited data and, when it evaluates to a suitable result or a prediction of an interesting condition, another subsystem or the same subsystem in a different mode collects data at a finer granularity with a higher data collection size or rate and evaluates that data to determine the nature of the first evaluation. The machine model may be trained in stages on a large scale server and on a small field processor. Data from the sensor may be used for training to improve the second step.
Public/Granted literature
- US20190244102A1 Devices and methods using machine learning to reduce resource usage in surveillance Public/Granted day:2019-08-08
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