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.

Systems and methods for detecting and monitoring human breathing, respiration, and heart rate using statistics about the wireless channel between two or more connected devices. A user is monitored for identifying patterns in the uses behavior that may allow the system to alert a caregiver to deviations in the user behavior that may be indicative of a potential issue, such as depression. A presence may be further detected in a sensing area through the detection of spectral components in the breathing frequency range of comprises user includes transforming phase difference between spatial streams and amplitude of the samples representing frequency response of the channel for any frequency value into frequency domain to perform frequency analysis. Statistical analysis may be performed on the frequency space provided by the transformation. Micro motions may also be detected by detecting presence in a sensing area through the detection of spectral components in the micro motion frequency range.

Disclosures relate to a sensor system and arrangements having different sized removable spacers. The spacers may be mixed and matched as needed or desired to compensate for misalignment conditions. Further, different spacer combinations and adjustments may be guided by a security management computing device. Variations in configurations of mounting surfaces, such as door and window assemblies, may be accommodated. Alignment of a transmitter or a receiving device, e.g., a magnetic device, with respect to a transmitter or receiving device despite misalignment of the components due to, for example, uneven surfaces of a door or a window, or a respective frame may be achieved.

An intelligent entrance detection system is provided where, primarily, any authorized or unauthorized entry to an area of a residential (or small industrial) unit covered by a wireless network is automatically detected from active off-the-shelf devices in that area. After the detection, an identification algorithm is employed to verify if this entry is a legal or illegal action. Based on this verification, either the routine smart home system is activated or a hazardous monitoring period begins to further investigate the suspicious event. If the illegal entrance is confirmed during the hazardous monitoring period, the owner of the property is informed through an intruder alarm protocol. In this invention, all of the analytic and processing steps, including entrance detection, owner identification, and device-free authority verification are designed based on monitoring and quantification of changes in surrounding wireless signals originated by human or object movements within the sensing area.

Disclosed herein are system, method, and computer program product embodiments for the detection of human presence in front of a plurality of sensors such as those of speakers and a device with a processor, such as a television. Data gathered from the plurality of sensors may be analyzed by the processor to determine if one or more humans are present proximate to the device. Based on the determined presence or absence of one or more humans, further actions including, inter alia, activating a sleep mode for the one or more humans, shutting off the device in a green mode, or alerting an owner-user to the presence of an intruder can be taken.

In a general aspect, a motion detection system manages leaf nodes used for sounding by one or more access points. For example, an access point identifies one or more static leaf nodes based on presence activity of each leaf node in a calibration window. A health score is determined for each AP-leaf node link for each calibration window based on AP-leaf node link quality information. One or more of the static leaf nodes are selected to be used for sounding in the motion detection system based on the health scores for each of the AP-leaf node links. The motion detection system is then updated to use the selected one or more static leaf nodes for motion detection.

A tracking system that tracks persons and/or objects of interest without the need for triangulation techniques is disclosed. The tracking system utilizes very low power active radio frequency tags with limited effective broadcast range that operate only in the transmit mode with no need to establish two-way communication with any part of the system. The person or object of interest is provided with a radio frequency tag incorporating a unique identifier. Gateways connected to a common network interface are positioned relative to specific areas within the facility to be monitored. A computer connected to the same network as the gateways analyzes data relating to the strength of the of the radio frequency signals received by the radio frequency receivers from the radio frequency tags to determine if, and when, persons and/or objects of interest are present within particular subareas within the facility.

A mobile robot is configured for operation in a commercial or industrial setting, such as an office building or retail store. The robot can patrol one or more routes within a building, and can detect violations of security policies by objects, building infrastructure and security systems, or individuals. In response to the detected violations, the robot can perform one or more security operations. The robot can include a removable fabric panel, enabling sensors within the robot body to capture signals that propagate through the fabric. In addition, the robot can scan RFID tags of objects within an area, for instance coupled to store inventory. Likewise, the robot can generate or update one or more semantic maps for use by the robot in navigating an area and for measuring compliance with security policies.

An alarm pane assembly is presented. The assembly includes a pane made of tempered glass, a transparent, electrically conductive coating arranged on a surface of the pane, a sensor unit, and an antenna. According to one aspect, the sensor unit includes a transmitting unit and an evaluation unit. During operation, the transmitting unit forwards a high-frequency voltage signal with a frequency f in a range of 0.1 GHz to 6 GHz to the antenna, the antenna emits electromagnetic radiation of the frequency f, the evaluation unit measures the impedance matching of the transmitting unit to the antenna, and the sensor unit outputs an alarm signal when the measured impedance matching deviates from a reference value. According to another aspect, the transparent, electrically conductive coating has a region with at least one coating-free pattern that overlaps the area of the orthogonal projection of the antenna onto the transparent, electrically conductive coating.

In order to detect movements of objects and/or living beings in a radio range, which enables easily with a minimum of hardware complexity an automated movement detection based on a Single-Sensor, it is proposed to: Collect as input data for the movement detection based on received radio signals of an intended or unintended communication between a transmitting radio terminal being mobile or fixed and a receiving local fixed radio device in the radio range a set of Channel State Information-values, determine a change in the received radio signals, which are derived from the facts that the movement influences the transmitted radio signal in the radio range based on the collected CSI-values by the indication of a statistical parameter value, and assess on the basis of the statistical parameter value a chaos index value until the chaos index value in accordance with a threshold check provides a reliable statement.