Abstract: Described herein are different distributed sensor network models, use cases, and details of the components of each model to achieve the goal of monitoring, detecting, tracking, and mitigating a target(s) such as a signal, an object, a phenomenon, etc. An independent sensor or a local sensor network may supply data to one or more fusion center(s) that collect(s) data and perform(s) higher logic to enhance system performance. A local sensor network allows independent sensors or other local sensor networks to merge into the local sensor network. A sensor cloud can be formed by multiple local sensor networks and independent sensors. By using different distribution models, the local sensor network can provide protection for various targets like Very Important Personnel (VIP) vehicles, lands, facilities, and cities.

Abstract: A Drone Detection System (DDS) listens passively to the Radio Frequency (RF) spectrum for a monitored area. If a drone-like signal is detected, the system alerts for the existence of a drone in the monitored area. This detection system may consist of multiple interconnected software and/or hardware-modules. Each module is responsible for extracting a certain physical feature (i.e., physical layer features) of the received signal (e.g. duty-cycle, bandwidth, power, center frequency, envelope in the time and frequency domains, type of modulation, frame size, etc.). The modular design of the system makes it easier to expand by adding more modules that can measure more physical features of the received signal. If the detector detects a signal with certain physical features, it may alert the existence of this signal along with its physical features and name of the most similar known signal from the library.

Abstract: Presented herein are embodiments of signal detection and location finding directed to a “Signature Detector and Direction Finder” (SDDF) add-on module. The SDDF is an add-on module to any Signal Detection System (SDS) that detects, locates, and/or tracks any type(s) of Radio Frequency (RF) signals. Even though the presented embodiments can be used with any RF signal type, the preferred targets are Uncrewed Aerial Vehicles (UAV) or drones, and their controllers. A goal of the SDDF add-on module is to recognize the reported signal of interest and identify its direction. The machine-learning feature enables the system (i.e. SDDF add-on module with SDS) to be deployable in various environments with flexibility in choosing the antenna type(s). The Signature Detector component of the SDDF add-on module uniquely filters drone/controller signals, hence, more accurate direction estimation of the detected signal by SDDF add-on module.

Abstract: A Drone Detection System (DDS) listens passively to the Radio Frequency (RF) spectrum for a monitored area. If a drone-like signal is detected, the system alerts for the existence of a drone in the monitored area. This detection system may consist of multiple interconnected software and/or hardware-modules. Each module is responsible for extracting a certain physical feature (i.e., physical layer features) of the received signal (e.g. duty-cycle, bandwidth, power, center frequency, envelope in the time and frequency domains, type of modulation, frame size, etc.). The modular design of the system makes it easier to expand by adding more modules that can measure more physical features of the received signal. If the detector detects a signal with certain physical features, it may alert the existence of this signal along with its physical features and name of the most similar known signal from the library.

Abstract: Described herein are different distributed sensor network models, use cases, and details of the components of each model to achieve the goal of monitoring, detecting, tracking, and mitigating a target(s) such as a signal, an object, a phenomenon, etc. An independent sensor or a local sensor network may supply data to one or more fusion center(s) that collect(s) data and perform(s) higher logic to enhance system performance. A local sensor network allows independent sensors or other local sensor networks to merge into the local sensor network. A sensor cloud can be formed by multiple local sensor networks and independent sensors. By using different distribution models, the local sensor network can provide protection for various targets like Very Important Personnel (VIP) vehicles, lands, facilities, and cities.

Abstract: A disposable blood sampler for a blood braid of a blood bag includes a blood taking needle cannula, a threaded cannula, a blood braid clamp, a connecting pipe, a needle inserting sheet and a blood braid. The blood taking needle cannula includes a tubular threaded structure at both ends, a bottom port of the threaded cannula is connected with the blood taking needle cannula, and an upper port of the threaded cannula includes symmetrically distributed clamping slots extending to a middle lower part of the wall. Grips are arranged on the outer wall surface of the blood braid clamp, and the blood braid clamp is arranged in the threaded cannula. The grip is arranged outside the clamping slot, and the connecting pipe is directly inserted into the upper port. An inner cavity in which the needle inserting sheet is placed is arranged inside the inner part of the connecting pipe.

Abstract: A drone defense system (DDS) beacon detects unmanned aerial systems (UAS) traffic and transmits a broadcast signal over a transmission region indicating a no-fly zone in which only UAS having an authorization are allowed to fly. The beacon allows UAS with clearance to enter the no-fly zone. Those UAS without clearance are diverted around the no-fly zone, denied Wi-Fi and/or RF connection, forced to return to home launch sites via activation of standard preprogrammed Return to Home (RTH) routines, or forced to land at specified locations where they may be captured. Military, emergency medical services (EMS), and other UAS are allowed to enter no-fly zones in which other UAS, such as commercial, or consumer UAS, cannot enter. DDS cloud collects and stores log data from all deployed DDS beacons. DDS cloud can send system software updates to DDS beacons, make real-time statistical analysis, and provide report data to outside systems.

Abstract: A drone defense system (DDS) beacon detects unmanned aerial systems (UAS) traffic and transmits a broadcast signal over a transmission region indicating a no-fly zone in which only UAS having an authorization are allowed to fly. The beacon allows UAS with clearance to enter the no-fly zone. Those UAS without clearance are diverted around the no-fly zone, denied Wi-Fi and/or RF connection, forced to return to home launch sites via activation of standard preprogrammed Return to Home (RTH) routines, or forced to land at specified locations where they may be captured. Military, emergency medical services (EMS), and other UAS are allowed to enter no-fly zones in which other UAS, such as commercial, or consumer UAS, cannot enter. DDS cloud collects and stores log data from all deployed DDS beacons. DDS cloud can send system software updates to DDS beacons, make real-time statistical analysis, and provide report data to outside systems.

Abstract: A drone defense system (DDS) beacon detects unmanned aerial systems (UAS) traffic and transmits a broadcast signal over a transmission region indicating a no-fly zone in which only UAS having an authorization are allowed to fly. The beacon allows UAS with clearance to enter the no-fly zone. Those UAS without clearance are diverted around the no-fly zone, denied Wi-Fi and/or RF connection, forced to return to home launch sites via activation of standard preprogrammed Return to Home (RTH) routines, or forced to land at specified locations where they may be captured. Military, emergency medical services (EMS), and other UAS are allowed to enter no-fly zones in which other UAS, such as commercial, or consumer UAS, cannot enter. DDS cloud collects and stores log data from all deployed DDS beacons. DDS cloud can send system software updates to DDS beacons, make real-time statistical analysis, and provide report data to outside systems.

Abstract: A drone defense system (DDS) beacon detects unmanned aerial systems (UAS) traffic and transmits a broadcast signal over a transmission region indicating a no-fly zone in which only UAS having an authorization are allowed to fly. The beacon allows UAS with clearance to enter the no-fly zone. Those UAS without clearance are diverted around the no-fly zone, denied Wi-Fi and/or RF connection, forced to return to home launch sites via activation of standard preprogrammed Return to Home (RTH) routines, or forced to land at specified locations where they may be captured. Military, emergency medical services (EMS), and other UAS are allowed to enter no-fly zones in which other UAS, such as commercial, or consumer UAS, cannot enter. DDS cloud collects and stores log data from all deployed DDS beacons. DDS cloud can send system software updates to DDS beacons, make real-time statistical analysis, and provide report data to outside systems.