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.

A method for estimating movements of a crowd between a first and second subregion in an area are monitored by a wireless sensor network. The wireless sensor network includes nodes configured to exchange a radio frequency signal through a first respective second link. The first respective second link crosses the first respective second subregion. The method includes the steps of exchanging radio frequency signals over the first and second link; and measuring respective first and second attenuations of the exchanged radio frequency signals over the first respective second link; and estimating based on a change in the attenuations a flow of the crowd between the first and second subregion. The estimating further includes estimating based on the first and second attenuations a density of the crowd in the first respective second subregion; and estimating based thereon a flux of the crowd between the first and second subregion.

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.

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.

In a general aspect, motion is detected using wireless signals. In one example, beamforming dynamic information is obtained based on a set of wireless signals transmitted through a space from a first wireless communication device to a second wireless communication device. Motion of an object in the space is detected based on the beamforming dynamic information.

In a general aspect, a method is presented for determining a motion-zone confidence. In some aspects, the method includes obtaining, from a database of a motion detection system, ranges of motion-zone parameters associated with respective motion zones in a space between wireless communication devices. The method also includes analyzing the ranges of motion-zone parameters to identify, for one or more of the motion zones, overlapping ranges of motion-zone parameters and non-overlapping parameter ranges of motion-zone parameters. The method additionally includes storing, in the database of the motion detection system, the overlapping and non-overlapping ranges of motion-zone parameters. The overlapping and non-overlapping ranges of motion-zone parameters are used to identify one of the motion zones based on a motion event detected by the motion detection system.

A system and method are provided, for sensing an environment. The system and method analyze wireless signals in the environment to determine effects on the wireless signal by the environment during propagation thereof, the effects being indicative of at least one characteristic of the environment.

Monitoring a physical area for detection of a wireless device includes scanning for signals from a wireless device within a scanning range defining the physical area, detecting a wireless signal from a wireless device within the scanning range, determining a wireless device ID associated with the wireless device detected within the scanning range and determining whether the wireless device ID is unknown. In response to determining that the wireless device ID is unknown, analyzing the wireless signal to determine scan data representative of the wireless signal, monitoring the scan data over time, determining a scan data pattern as a function of time based on the monitored scan data, comparing the scan data pattern to scan data patterns stored in a database and in response to determining that the scan data pattern based on the monitored scan data matches a scan data pattern in the database, activate a first alert.

This disclosure relates to a method of detecting an occupancy state of a living space for controlling an on/off performance of an electrical apparatus. The method comprises using a motion sensor to send wave signal and detect wave signal reflected from a moving human body and using a dual sensitivity detection arrangement including a low sensitivity detection mode and a high sensitivity detection mode respectively performed for identifying the wave signal being a motion signal according to the electrical apparatus being in a turned-off state or in a turned-on state. The dual sensitivity detection arrangement enables the motion sensor to more precisely detect the occupancy state of a living space while minimizing a probability of the electrical apparatus being activated by a noise signal.

In a general aspect, a location of detected motion in a space is determined. In some aspects, motion of an object in a space is detected based on wireless signals communicated through the space by a wireless communication system that includes multiple wireless communication devices. Each wireless signal is transmitted and received by a respective pair of the wireless communication devices. Motion indicator values are computed for the respective wireless communication devices. The motion indicator value for each individual wireless communication device represents a degree of motion detected by the individual wireless communication device based on a subset of the wireless signals transmitted or received by the individual wireless communication device. A location of the detected motion in the space is determined based on the motion indicator values.