Security system using a convolutional neural network with pruned filters
US10885437B2 · kind B2 · utility
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20Claims
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Key dates
| Filing date | May 9, 2017 |
| Grant date | Jan 5, 2021 |
| Priority date | — |
| Expiry date | Jul 7, 2039 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH03H2222/04
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Security systems and methods for detecting intrusion events include one or more sensors configured to monitor an environment. A pruned convolutional neural network (CNN) is configured process information from the one or more sensors to classify events in the monitored environment. CNN filters having the smallest summed weights have been pruned from the pruned CNN. An alert module is configured to detect an intrusion event in the monitored environment based on event classifications. A control module is configured to perform a security action based on the detection of an intrusion event.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.