G01S5/20

Spatial self-verifying array of nodes

Methods and apparatus for verifying respective positions of Nodes based upon wireless communications between Nodes included in an array. Values for variables derived from multiple wireless transmissions between Nodes are aggregated, and a position of a particular Node may be determined based upon multiple data sets generated by multiple communications between disparate Nodes. In addition, the presence of an obstacle to wireless communication between some Nodes may be derived from the data sets. A user interface may provide a pictorial view of positions of all or some Nodes in an array, as well as a perceived obstruction.

SPATIAL SELF-VERIFYING ARRAY OF NODES

Methods and apparatus for verifying respective positions of Nodes based upon wireless communications between Nodes included in an array. Values for variables derived from multiple wireless transmissions between Nodes are aggregated, and a position of a particular Node may be determined based upon multiple data sets generated by multiple communications between disparate Nodes. In addition, the presence of an obstacle to wireless communication between some Nodes may be derived from the data sets. A user interface may provide a pictorial view of positions of all or some Nodes in an array, as well as a perceived obstruction.

Ground-based system for geolocation of perpetrators of aircraft laser strikes

Laser light source geolocation. The system includes two spaced-apart ground based sensors for receiving light from a laser source that has been off-axis scattered by air molecules and particulates to form scattered light imagery. A processor operates on the imagery from the two sensors to geolocate the laser light source on the ground.

Ground-based system for geolocation of perpetrators of aircraft laser strikes

Laser light source geolocation. The system includes two spaced-apart ground based sensors for receiving light from a laser source that has been off-axis scattered by air molecules and particulates to form scattered light imagery. A processor operates on the imagery from the two sensors to geolocate the laser light source on the ground.

Using direction of arrival with unique audio signature for object location detection

Multiple independently movable devices are located upon a platform. On the platform is a directional microphone array. Each of the movable devices is assigned a unique audio signature, which may be a pulse train of chirps or a pseudo random signal or some other audio sequence that is unique to the respective device. Each movable device announces itself with its unique audio signature, and the platform's directional microphone system determines the location from which the unique audio signature comes from. For range, a difference between the time of flight (TOF) of the light relative to the sound signature is used. As another technique a unique audio signature may be an audio water mark concealed in normal audio which may be emitted by the movable device. The watermark provides the identifying information of each movable device.

Using direction of arrival with unique audio signature for object location detection

Multiple independently movable devices are located upon a platform. On the platform is a directional microphone array. Each of the movable devices is assigned a unique audio signature, which may be a pulse train of chirps or a pseudo random signal or some other audio sequence that is unique to the respective device. Each movable device announces itself with its unique audio signature, and the platform's directional microphone system determines the location from which the unique audio signature comes from. For range, a difference between the time of flight (TOF) of the light relative to the sound signature is used. As another technique a unique audio signature may be an audio water mark concealed in normal audio which may be emitted by the movable device. The watermark provides the identifying information of each movable device.

Detection of the Occurrence of an Event, Based On a Propagation Characteristic of a Pressure Wave
20200186978 · 2020-06-11 · ·

A technique for detecting the occurrence of an event, and for estimating other event-related information, by analyzing the barometric pressure in the vicinity of one or more wireless terminals. The disclosed detection technique is based on the recognition that the barometric sensor on various wireless terminals, such as smartphones, is capable of measuring very subtle changes in the atmospheric pressure. The disclosed detection technique is also based on the additional recognition of how some of the changes in the atmospheric pressure, as measured by a wireless terminal, correlate to various events that occur within a building or other defined area. For example, the disclosed technique can detect an entry door opening or closing by analyzing a resultant pressure wave having a particular transient that is perceptible by one or more wireless terminals in the area and analyzed by a detection engine.

INPUT METHOD AND SMART TERMINAL DEVICE

An input method and a smart terminal device. After a processor in the smart terminal device determines, based on a first detection solution of a first infrared sensor, that a target object enters or leaves a first space range from a first plane, the processor starts or stops displaying a cursor based on distances measured by ultrasonic sensors; and after the processor determines, based on a second detection result of a second infrared sensor, that the target object enters or leaves a second space range from a second plane, the processor starts or stops performing a confirmation operation based on a location of the cursor.

Gunshot detection within an indoor environment

Techniques for gunshot detection in an indoor environment are disclosed. A gunshot sensor is placed in the indoor environment. The gunshot sensor includes multiple individual sensors, including, but not limited to, an acoustic sensor and an infrared sensor. A firearm typically emits energy within the infrared spectrum when fired. This energy is detected by the infrared sensor. A firearm also typically emits an acoustic pressure wave when fired. The acoustic sensor detects the acoustic pressure wave. A strobe from a fire alarm occurring near in time to the gunshot can cause false gunshot detection. The infrared sensor information and the acoustic sensor information are analyzed to determine that a gunshot has occurred. The gunshot determination takes place independently of the location of the gunshot sensor. The strobe occurrence is evaluated to provide gunshot false alert detection. Reverberations are not used in the determination of a gunshot false alert.

Gunshot detection within an indoor environment

Techniques for gunshot detection in an indoor environment are disclosed. A gunshot sensor is placed in the indoor environment. The gunshot sensor includes multiple individual sensors, including, but not limited to, an acoustic sensor and an infrared sensor. A firearm typically emits energy within the infrared spectrum when fired. This energy is detected by the infrared sensor. A firearm also typically emits an acoustic pressure wave when fired. The acoustic sensor detects the acoustic pressure wave. A strobe from a fire alarm occurring near in time to the gunshot can cause false gunshot detection. The infrared sensor information and the acoustic sensor information are analyzed to determine that a gunshot has occurred. The gunshot determination takes place independently of the location of the gunshot sensor. The strobe occurrence is evaluated to provide gunshot false alert detection. Reverberations are not used in the determination of a gunshot false alert.