Patent classifications
G01S13/886
RADAR SYSTEM FOR INTERNAL AND EXTERNAL ENVIRONMENTAL DETECTION
Examples disclosed herein relate to radar systems to coordinate detection of objects external to the vehicle and distractions within the vehicle. A method of environmental detection with a radar system includes detecting an object in an external environment of a vehicle with the radar system positioned on the vehicle. The method includes determining a distraction metric from measurements of user activity obtained within the vehicle with the radar system. The method includes adjusting one or more detection parameters of the radar system based at least on the detected object and the distraction metric. Other examples disclosed herein relate to a radar sensing unit for a vehicle that includes an internal distraction sensor, an external object detection sensor, a coordination sensor and a central controller for internal and external environmental detection.
OBJECT DETECTION-BASED NOTIFICATION
Implementations of the subject technology provide object detection and/or classification for electronic devices. Object detection and/or classification can be performed using a radar sensor of an electronic device. The electronic device may be a portable electronic device. In some examples, object classification using a radar sensor can be based on an identification of user motion using radar signals and/or based on extraction of surface features from the radar signals. In some examples, object classification using a radar sensor can be based on time-varying surface features extracted from the radar signals. Surface features that can be extracted from the radar signals include a radar cross-section (RCS), a micro-doppler signal, a range, and/or one or more angles associated with one or more surfaces of the object.
Method and device for determining an operational geographical zone observed by a sensor
A determination method for determining at least one region of interest in at least one operational geographical zone. The operational geographical zone determined relative to a sensor to observe and measure the radial speed of an object traveling in a region of interest. The method may include steps simulating the position of the sensor in the region of interest at a determined position and orientation; determining at least one first zone of a region of interest; and determining a second zone of the region of interest, the second zone constituting a coverage zone of the sensor in which an object travelling in the region is observable while accounting for at least the position of the object relative to the sensor. One operational geographic zone is defined by taking account the intersection between the first and second zones.
PROXIMITY MOTION SENSING FOR VIRTUAL REALITY SYSTEMS
Techniques are provided for alerting a user of a virtual reality (VR) system of hazards in the proximate environment. An example method of proximity sensing with a virtual reality headset includes communicating with a station via a first wireless link, detecting a target object using radio frequency sensing on a second wireless link, determining a rate of approach associated with the target object, and generating an alert based at least in part on the rate of approach.
SYSTEM AND METHOD FOR OBJECT MONITORING, LOCALIZATION, AND CONTROLLING
The present invention is a system and method to monitor, localize, and control objects in an implicitly defined geofenced area and to determine object position and orientation (vehicle only) by capturing the object's image, 3D data, or position using camera, LiDAR, and/or RADAR sensors that are installed on structures mounted on the ground. The sensors capture image, 3D data points, and distance of the surface points that are processed to ultimately obtain 3D data of the surface points of the object. The 3D data points from different sensors are then combined or fused by a controller to obtain a single set of 3D points, called fusion data, under one coordinate system such as the GPS coordinate system. The single set of 3D points is then processed by the controller using deep neural network and/or other algorithms to obtain position and orientation of the object. Additionally, the controller or sensors can send current and desired future object positions and orientations to controllable objects. Controller and/or sensors can send site image data to scene marking device and receive marked image data for geofenced monitoring of objects. Controller or sensors send alert to devices if objects are detected or abnormal behavior of objects are detected within the geofenced area.
Portable sub-THz and THz radar system for remote physiological parameters detection and method with harmonic and fundamental components
The present invention provides a method and a portable non-invasive sub-THz and THz (THz) radar system for remotely detecting physiological parameters of a subject, comprising: one or more transmission means for transmitting THz signals to a subject predefined tissue; one or more reception means for receiving a THz signal of the subject, the THz signals being a reflection of the THz signal from subject tissue thereby, receiving at least one physiological parameter change; and microprocessor means coupled and configured to communicate with the transmitter means and/or the reception means for receiving and processing the reflected signals. The microprocessor comprising instructions of pre-treatment and folding the reflected signals; filtering and decimating selected portions of the folded signals and removing folded segments; decomposing of the decimated signal s into sub-component signals: identifying and removing sub-component signals due to random motions; locating quasi-periodic signal information from the remaining sub-component signals thereby, determining at least one physiological parameter of the subject based upon the quasi-periodic signal information components.
Radar-based detection of objects while in motion
A radar-based security screening system for detecting objects is described. The screening system includes a radar transmitter, a radar receiver, and a processing unit. In use, the radar transmitter steers a radar beam across a screening volume. The radar receiver, in turn, receives a return signal from an object over time as the object moves in the screening volume to create a three-dimensional temporal signature for the object. The processing unit classifies the three-dimensional temporal signature utilizing a classification process based on a deep neural network model, and provides an alert when the object is classified as an object of interest. During screening, a screened person is not required to remain still in a confined volume and is not exposed to harmful radiation.
PASSIVE POSITIONING WITH RADIO FREQUENCY SENSING
Disclosed are systems, methods, and non-transitory media for sensing radio frequency signals. For instance, radio frequency data can be received by an apparatus and from at least one wireless device in an environment. Based on the radio frequency data received from the at least one wireless device, the apparatus can determine sensing coverage of the at least one wireless device. The apparatus can further provide the determined sensing coverage and a position of at least one device to a user device.
LED light has built-in camera-assembly to capture colorful digital-data under dark environment
A LED Light device for house or stores or business application having built-in camera unit is powered by AC or-and DC power source for a lamp-holder, LED bulb, security light, flashlight, car torch light, garden, entrance door light or other indoor or outdoor LED light device connected to power source by (1) prongs or (2) male-base has conductive piece can be inserted into a female receiving-piece which connect with power source or (3) wired or AC-plug wires. The device has built-in camera-system has plurality functions to make different products and functions. The LED light device has at least one of (a) camera or DV (digital video) to take minimum MP4 or 4K image or photos, (b) digital data memory kits or cloud storage station, (c) wireless connection kits, Bluetooth or USB set for download function, (d) MCU or CPU or IC with circuit with desired motion sensor/moving detector(s)/other sensor, (e) camera-assembly for connecting Wi-Fi, Wi-Fi extend, or-and 3G/4G/5G network or even settle-lite channel, (f) system to transmit or-and receiving wireless signal, (g) APP or other platform incorporated with pre-programed or even AI (artificial intelligence) software has optional area-selections function to make screen-comparison or image comparison to operation pre-program or related device including but not limited to detect moving object(s), face recognition or personal identification or-and habit or-and crime comparison, purchase, (h) LED light source to offer sufficient brightness under dark environment for camera-assembly take color data, (i) other electric or mechanical parts & accessories, (j) has moving detector and software built-in to make comparison to judge the movement object of the preferred screen selected-areas; to get desired function(s) for the said LED light device. The said motion sensor/moving detector or other sensor unit has desired camera and Wi-Fi system and part or all of digital data related module or circuit(s) or backup power, and (k) camera-assembly may in separated housing incorporated with all kind of existing light source so people can upgrade the non-camera device to has built-in camera and digital device for their old non-camera security light.
Fall detection systems and methods
Fall detection systems and methods use radar chips to scan monitored regions such that data obtained by the scanning radar chip are processed to identify targets within the monitored region. Targets are tracked and profiled indicating their posture and fall detection rules are applied. Standard energy profiles and time dependent energy profiles are generated for various segments of the monitored region and compared to the current energy profile for each target segment of the monitored region. Anomalies are detected, false fall alerts filtered out and verified fall alerts are generated.