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公开(公告)号：US20240094344A1
公开(公告)日：2024-03-21
申请号：US18462113
申请日：2023-09-06
发明人： Timothy T. Childs , Daniel C. Eller , Kalyani Mantha , John Geddes , Manish Saka
CPC分类号： G01S7/417 , G01S7/412 , G01S7/415 , G01S13/0209 , G01S13/04 , G01S13/345 , G01S13/867 , G01S13/886 , G08B13/2491 , G08B13/19695
摘要： A method of detecting threats. A threat detection system is provided that includes a controller, a millimeter wave radar with transceiver, a signature database, and a camera. The signature database or machine learning includes time and frequency domain characteristic data for a threat. A signal is emitted by the millimeter wave radar. A return signal is received when the signal bounces off an object. Time and frequency domain characteristic data of the return signal is compared to the signature database, or the machine learned characteristics to determine the threat, anomaly, foreign object, material characteristics, and threat speech recognition.
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公开(公告)号：US20240110893A1
公开(公告)日：2024-04-04
申请号：US18481058
申请日：2023-10-04
发明人： Timothy Childs , John Geddes , Daniel C. Eller , Jerry W. Cole , Kalyani Mantha , Manish Saka
IPC分类号： G01N29/036 , G01N29/34
CPC分类号： G01N29/036 , G01N29/34 , G01N2291/014 , G01N2291/022
摘要： A pathogen detection method. A sample that potentially contains a pathogen is collected. A triangle wave form output is produced. A signal associated with the triangle wave form is transmitted from a voltage-controlled oscillator over a plurality of frequencies. The signal is transmitted through the sample to cause the pathogen in the sample to vibrate at a frequency. The vibrations from the sample are detected. A resonance profile of a pathogen in the sample is calculated based upon the vibrations. A database that includes a resonance profile signature of at least one pathogens is provided. The calculated resonance profile is compared to the resonance profile signature database to determine if the sample includes the pathogen.
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公开(公告)号：US20220026560A1
公开(公告)日：2022-01-27
申请号：US17320001
申请日：2021-05-13
发明人： Timothy T. Childs , Daniel C. Eller , Kalyani Mantha , John Geddes , Manish Saka
摘要： A method of detecting threats. A threat detection system is provided that includes a controller, a millimeter wave radar, a signature database and a camera. The signature database or machine learning includes time and frequency domain characteristic data for a threat. A signal is emitted by the millimeter wave radar. A return signal is received when the signal bounces off an object. Time and frequency domain characteristic data of the return signal is compared to the signature database or the machine learned characteristics to determine the threat, anomaly, foreign object and material characteristics.
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公开(公告)号：US20190195989A1
公开(公告)日：2019-06-27
申请号：US15960245
申请日：2018-04-23
发明人： Timothy T. Childs , Daniel C. Eller , Kalyani Mantha , John Geddes , Manish Saka
CPC分类号： G01S7/417 , G01S7/412 , G01S7/415 , G01S13/0209 , G01S13/04 , G01S13/345 , G01S13/867 , G01S13/886 , G08B13/19695 , G08B13/2491
摘要： A method of detecting threats. A threat detection system is provided that includes a controller, a millimeter wave radar, a signature database and a camera. The signature database or machine learning includes time and frequency domain characteristic data for a threat. A signal is emitted by the millimeter wave radar. A return signal is received when the signal bounces off an object. Time and frequency domain characteristic data of the return signal is compared to the signature database or the machine learned characteristics to determine the threat, anomaly, foreign object and material characteristics.
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