Security system using a convolutional neural network with pruned filters
AssigneeNEC Corporation
InventorsAsim Kadav, Igor Durdanovic, Hans Peter Graf, Hao Li
Life of this patent
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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.
Claims20
A security system, comprising:
- one or more sensors configured to monitor an environment;
- a pruned convolutional neural network (CNN) configured process information from the one or more sensors to classify events in the monitored environment, wherein CNN filters having the smallest summed weights have been pruned from the pruned CNN;
- and
- a control module configured to perform a security action based on event classifications.
A method of detecting intrusion events, comprising:
- monitoring an environment using one or more sensors;
- classifying events in the monitored environment based on information from the one or more sensors using a pruned convolutional neural network (CNN), wherein CNN filters having the smallest summed weights have been pruned from the pruned CNN;
- and
- performing a security action based on event classifications.
Dependencies are inferred from the claim text.