A detecting system for fire is provided. The detecting system includes a sensing device, a control center, and a physical circuit. The sensing device is disposed in a sensing area. The sensing device is for obtaining target information, environmental information, and location information, and for outputting sensing information. The sensing area includes a sub-sensing area corresponding to the sensing device. The control center is coupled to the sensing device. The control center is for outputting integrated information based on sensing information. The physical circuit is for coupling the sensing device and the control center. The sensing device obtains the unique location information corresponding to the sub-sensing area according to the physical circuit.

System and method for determining a 3D coordinate of a moving target are provided. The system may obtain 2D detection data of the moving target generated by a 2D detection device including two detection assemblies that are mounted at a known height above a horizontal plane along a first axis that forms a tilting angle with the horizontal plane. The system may determine a 2D coordinate of the moving target in a first coordinate system including the first axis and a second axis that is perpendicular to the first axis based on the 2D detection data. The 2D coordinate of the moving target may include a first value of the first axis and a second value of the second axis. The system may determine the 3D coordinate of the moving target in a second coordinate system based on the 2D coordinate, the tilting angle, and the known height.

A vehicle including a first ultra-wideband (UWB) sensor and a second UWB sensor is disclosed. The first UWB sensor may be positioned at a vehicle front portion, and the second UWB sensor may be positioned at a vehicle rear portion. The vehicle may further include a memory and a processor configured to receive at least one of a first signal from the first UWB sensor and a second signal from the second UWB sensor. The processor may be configured to determine whether the vehicle is at an incline position based on at least one of the first signal and the second signal.

Threat identification devices, systems, and methods are disclosed which identify and locate various threats and provide a variety of countermeasures to reduce the loss of life in an attack. In one implementation, a device is provided with a housing and a plurality of tubes coupled to and extending from the housing. Sensors are located within the tubes for sensing external conditions. A control unit is in electronic communication with the sensors. Upon detection of an external condition, the sensors transmit a signal to the control unit, which activates countermeasures, including rotating light sources to identify the location of the external condition as well as preferred escape routes. The control unit may also transmit signals to other devices in the environment, including video panels and speakers, to provide instructions.

An apparatus, method, and system for detecting an object in an environment. The apparatus comprises: a processor configured to: control an active reflected wave detector to measure wave reflections from the environment to accrue measured wave reflection data; process the measured wave reflection data to detect an object in said environment; in response to detection of said object, determine whether a first predetermined condition in respect of the object is met; and if the first predetermined condition is met, control an output device to output a deterrent.

A system includes an ultra-wideband (UWB) radar having a transmitter that transmits electromagnetic waves toward a region-of-interest (ROI) and a receiver that receives reflected electromagnetic waves coming from the ROI. The system also includes at least one device configured to detect metal in a lower region of the ROI, a pattern recognition device, and a signaling device. The pattern recognition device includes a processor and is configured to identify at least one object-of-interest (OOI), via the reflected electromagnetic waves, that is moving through the ROI. The signaling device is configured to send an alert when i) the pattern recognition device identifies an OOI and ii) metal is detected by at least one metal detector or the at least one magnetometer.

An apparatus comprising a radar component and a temperature sensor. The radar component may be configured to detect a presence of a person in a vehicle and determine an age range of the person detected. The temperature sensor may be configured to determine an ambient temperature in the vehicle and operate independently from a heating and cooling system of the vehicle. The apparatus may be configured to operate when the vehicle is turned off. A processor may be configured to determine an urgency level in response to the age range of the person detected and the ambient temperature. The processor may be configured to generate escalating actions in response to the urgency level.

A method, system and apparatus are provided for estimating characteristics of a wireless communication channel between at least two passive radio frequency (RF) nodes. Backscatter channel state information (BCSI) is measured during communication between the at least two passive RF nodes using the wireless communication channel. An RF node aggregates the measured BCSI and the aggregated BSCI is analyzed to detect at least one activity of a plurality of activities.

A method of detecting threats. A threat detection system is provided that includes a controller, a millimeter wave radar, 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 and material characteristics.

A method of radar detection of targets in an environment, comprising cyclically obtaining a detection profile that associates with each position in the protected area an amount of radar signal that has been reflected, and detecting targets from the detection profile in different modes. A base mode is used for a first series of cycles and is insensitive to motionless targets and sensitive to dynamic targets that move between different locations in the protected area. When the base mode detects a target, two additional modes are started, which are active in different areas. In first areas, a fine movement detection mode is used, which also neglects motionless targets and may be more sensitive than the base mode. In second areas, a presence mode detects both dynamic and motionless targets. When neither the presence mode nor the fine movement mode detects any target for a sufficient time, no people in danger are deemed to be present in the area and the base mode may be restored.