Protecting military perimeters from approaching human and vehicle using biologically realistic neural network
First Claim
1. A security system for protecting perimeters from an approaching human or vehicle comprising:
- a seismic sensor system configured to sense ground vibration, including ground vibration caused by each of the following;
human footsteps, a vehicle, and quadrupedal animal footsteps; and
a trained biologically realistic neural network system configured to receive information indicative of the ground vibration sensed by the sensor system and to discriminate between different causes of the ground vibration based on this information, including between ground vibration caused by each of the following;
human footsteps;
a vehicle; and
quadrupedal animal footsteps,wherein the trained biologically realistic neural network system includes a plurality of trained biologically realistic neural networks in a parallel configuration.
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Accused Products
Abstract
An approaching human threat or vehicle, such as a suicide bomber nearing a secured zone such as a military base, may be detected and classified. A vibration recognition system may detect a systematic vibration event. The entity might be a medium, human, animal, or a passenger vehicle. The system may discriminate between such an event and a background or other vibration event, such as a falling tree limb. A seismic sensor may be employed to detect vibrations generated by footsteps and a vehicle. Seismic waves may be processed locally where the sensor is located. The system may wirelessly communicate with a remote command center. Temporal features of the vibration signals may be modeled by a biologically realistic neural network with good false recognition rates. The models may reject quadrupedal animal footsteps.
27 Citations
20 Claims
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1. A security system for protecting perimeters from an approaching human or vehicle comprising:
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a seismic sensor system configured to sense ground vibration, including ground vibration caused by each of the following;
human footsteps, a vehicle, and quadrupedal animal footsteps; anda trained biologically realistic neural network system configured to receive information indicative of the ground vibration sensed by the sensor system and to discriminate between different causes of the ground vibration based on this information, including between ground vibration caused by each of the following; human footsteps;
a vehicle; and
quadrupedal animal footsteps,wherein the trained biologically realistic neural network system includes a plurality of trained biologically realistic neural networks in a parallel configuration. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 19)
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16. A security system for protecting perimeters from an approaching human or vehicle comprising:
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a seismic sensor system configured to sense ground vibration, including ground vibration caused by each of the following;
human footsteps and a vehicle; anda trained biologically realistic neural network system configured to receive information indicative of the ground vibration sensed by the sensor system and to discriminate between different causes of the ground vibration based on this information, including between ground vibration caused by each of the following; human footsteps and a vehicle, wherein the trained biologically realistic neural network system includes a plurality of trained biologically realistic neural networks in a parallel configuration. - View Dependent Claims (17, 18, 20)
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Specification