Back to results
US 10,636,264 B2Granted
Office building security system using fiber sensing
AssigneeNEC Corporation
InventorsMing-Fang Huang, Ting Wang
Life of this patent
Estimating the term…
Abstract
A security system is provided for a building. The security system includes a fiber optic cable arranged in various locations in the building for Distributed Vibration Sensing (DVS) and Distributed Acoustic Sensing (DAS) at the various locations. The security system further includes a machine-learning-based analyzer for selectively providing any of an early warning and a prevention of various detected conditions responsive to a machine-learning-based analysis of results from the DVS and the DAS.
Claims16
A security system for a building, comprising:
- a fiber optic cable arranged in various locations in the building for Distributed Vibration Sensing (DVS) and Distributed Acoustic Sensing (DAS) responsive to sensing signals of the fiber optic cable at the various locations;
- and
- a machine-learning-based analyzer for selectively providing any of an early warning and a prevention of various detected conditions of one or more persons responsive to a machine-learning-based analysis of the sensing signals from the DVS and the DAS,
- wherein the machine-learning-based analyzer analyzes the sensing signals from the DVS to detect walking patterns, footsteps, foot strength, walking direction and multiple persons walking at a given time.
1 more element
A computer-implemented method for providing security for a building, comprising:
- arranging a fiber optic cable in various locations in the building for Distributed Vibration Sensing (DVS) and Distributed Acoustic Sensing (DAS) responsive to sensing signals of the fiber optic cable at the various locations;
- and
- selectively providing, by a machine-learning-based analyzer, any of an early warning and a prevention of various detected conditions of one or more persons responsive to a machine-learning-based analysis of the sensing signals from the DVS and the DAS,
- wherein the machine-learning-based analyzer analyzes the sensing signals from the DVS to detect walking patterns, footsteps, foot strength, walking direction and multiple persons walking at a given time.
1 more element
Dependencies are inferred from the claim text.