Invention Grant
US08615476B2 Protecting military perimeters from approaching human and vehicle using biologically realistic neural network
有权
使用生物学现实的神经网络保护军事周界免受人和车辆的接近
- Patent Title: Protecting military perimeters from approaching human and vehicle using biologically realistic neural network
- Patent Title (中): 使用生物学现实的神经网络保护军事周界免受人和车辆的接近
-
Application No.: US12759556Application Date: 2010-04-13
-
Publication No.: US08615476B2Publication Date: 2013-12-24
- Inventor: Theodore W. Berger , Alireza Dibazar , Hyung O. Park
- Applicant: Theodore W. Berger , Alireza Dibazar , Hyung O. Park
- Applicant Address: US CA Los Angeles
- Assignee: University of Southern California
- Current Assignee: University of Southern California
- Current Assignee Address: US CA Los Angeles
- Agency: McDermott Will & Emery LLP
- Main IPC: G06F15/18
- IPC: G06F15/18

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.
Public/Granted literature
Information query