Abstract: A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

Abstract: Systems, methods, and computer-readable media are described using radar systems to avoid vehicle collisions. An example radar system can include antennas mounted on an aircraft, where each antenna has a different orientation facing a different direction away from the aircraft. The radar system can include one or more processing devices and a computer-readable storage medium storing instructions which, when executed by the one or more processing devices, cause the radar system to coordinate digital beam steering and digital beam forming with the antennas to produce a radar coverage area that includes a portion of an airspace around the aircraft; detect, based a signal transmitted by the antennas using the digital beam steering and digital beam forming, an object within the radar coverage area; and generate collision avoidance information including an indication of the object detected within the radar coverage area and/or an instruction for avoiding a collision with the object.

Abstract: A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

Abstract: A dressing for covering a wound of a patient comprises a sheet member adapted to be adhered to the patient's skin in use to provide an airtight seal around the wound, wherein the skin-adhesion is provided by a hydrogel layer 10 on the skin-facing face of the sheet member, wherein the sheet member defines in use a substantially enclosed space 5 above the wound, and wherein a plurality of mutually spaced-apart flutter valves formed by holes 5 in a thin film 13 overlying an upper face of a layer 12 of the sheet member permit one-way air, blood and/or other fluid flow communication from the space 5 above the wound to the exterior of the dressing.

Abstract: A dressing for covering a wound of a patient comprises a sheet member adapted to be adhered to the patient's skin in use to provide an airtight seal around the wound, wherein the skin-adhesion is provided by a hydrogel layer 10 on the skin-facing face of the sheet member, wherein the sheet member defines in use a substantially enclosed space 5 above the wound, and wherein a plurality of mutually spaced-apart flutter valves formed by holes 5 in a thin film 13 overlying an upper face of a layer 12 of the sheet member permit one-way air, blood and/or other fluid flow communication from the space 5 above the wound to the exterior of the dressing.