The present invention relates to a multi-sensing-based vulnerable social group danger recognition detection method of sensing a person being monitored and residence states in real time in a vulnerable social group residence, and, if an analysis result based on the sensed information corresponds to a dangerous situation, transmitting information thereabout to a guardian or related organizations so as to quickly respond thereto. In addition, the present invention is configured to include operations S100 to S800 of receiving sensing information from a sensing means (100) comprised of one or more sensors, analyzing the sensing information, and transmitting, to a central server (300), a dangerous-situation analysis information result of a person being monitored and an alarm signal according thereto.

A tool for providing contextual policy-based computer vision control. The tool identifies one or more camera devices in an environment. The tool determines a plurality of vision areas in a field of view within the environment. The tool determines one or more contextual policies for the plurality of vision areas in the field of view. The tool determines one or more vision augmentations for the plurality of vision areas based, at least in part, on an aggregate computer vision capability of the one or more camera devices in the environment and the one or more contextual policies for the plurality of vision areas in the field of view. The tool applies the one or more vision augmentations to at least one of the one or more camera devices in the environment.

An apparatus comprising a camera sensor and a processor. The camera sensor may be configured to generate video data of an area of interest. The processor may be configured to (A) analyze the video data, (B) generate control signals and (C) adjust a status of a plurality of security responses. The control signals may be generated in response to (a) the analysis of the video data and (b) the status of the security responses. The control signals may adjust an activation of the security responses. A first of the security responses may be activated in response to an event detected by the analysis of the video data. A first communication to a first contact may be initiated based on the analysis of the video data of the event. A second communication to a second contact may be initiated based on a response to the first communication.

In accordance with a first aspect of the present disclosure, a system is provided for facilitating detecting an unauthorized access to an object, the system comprising: a plurality of ultra-wideband (UWB) communication nodes; a controller operatively coupled to said plurality of UWB communication nodes, wherein the controller is configured to: cause at least one of the UWB communication nodes to transmit one or more UWB messages to other UWB communication nodes of said plurality of UWB communication nodes; receive a channel impulse response (CIR) estimate and/or one or more parameters relating to said CIR output by the UWB communication nodes in response to receiving said UWB messages; analyze said CIR estimate and/or said parameters relating to the CIR to detect said unauthorized access to the object. In accordance with a second aspect of the present disclosure, a corresponding method is conceived for facilitating detecting an unauthorized access to an object. In accordance with a third aspect of the present disclosure, a computer program is provided for carrying out said method.

A machine-implemented method for automated detection of drowsiness, which includes receiving from an imaging device directed at the face of an operator a series of images of the face of the operator onto processing hardware, on the processor detecting facial landmarks of the operator from the series of images to determine the level of talking by the operator, the level of yawning of the operator, the PERCLOS of the operator, on the processor detecting the facial pose of the operator from the series of images to determine the level of gaze fixation by the operator, on the processor calculating the level of drowsiness of the operator by ensembling the level of talking by the operator, the level of yawning of the operator, the PERCLOS of the operator and the level of gaze fixation by the operator, and generating an alarm when the calculated level of drowsiness of the operator exceeds a predefined value.

Systems and methods for operating a security system. The methods comprise: monitoring an area for a presence of an individual or vehicle using wireless signals of a first type that are received by a first radio of the security system; operating the first radio as a wireless sensor for generating sensor data; determining whether the individual or vehicle is exhibiting an unusual behavior using the sensor data and pre-programmed or machine learned patterns of unusual behavior; changing an operating frequency of the first radio when a determination is made that the individual or vehicle is exhibiting unusual behavior; and communicating a wireless signal of a second type from the first radio when the individual or vehicle is exhibiting unusual behavior, where the second type is different than the first type.

Disclosed are a method and system for predicting a health risk. In an embodiment, a method of predicting a health risk may include collecting a health condition index, generating time-series data by accumulating the health condition index at given time intervals, calculating a health condition index prediction value in a future time by inputting the generated time-series data to a health condition index prediction model, comparing the calculated health condition index prediction value with a preset threshold, and generating a danger alert signal when the calculated health condition index prediction value is out of the threshold.

Systems and methods for processing surveillance video streams using image classification and object detection are described. Video data from a video image sensor may be processed using an image classifier to determine whether an object type is present in a video frame. If the object type is present, the video frame and/or subsequent video frames may be processed using an object detector to provide additional object data, such as position information, for use in other video surveillance processes. In some examples, an event message may be generated and sent to a video surveillance application in response to selective object detection.

An image processing method and apparatus, an electronic device and a storage medium are provided. The method includes: at least one image to be processed and at least one attribute filtering condition of an event to be monitored are obtained; event detection is performed on the at least one image to be processed to obtain an intermediate detection result of the event to be monitored; event attribute extraction is performed on the at least one image to be processed to obtain at least one attribute of the event to be monitored; and a target monitoring result of the event to be monitored is obtained according to the intermediate detection result, the at least one attribute and the at least one attribute filtering condition of the event to be monitored.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating high-resolution fire distribution maps. In some implementations, a computer-implemented system obtains a low-resolution distribution map indicating fire distribution of an area with fire burning and a reference map indicating features of the same area. The system processes the low-resolution distribution map and the reference map using a generator neural network to generate output data including a high-resolution synthesized distribution map indicating fire distribution of the area. The generator neural network is trained, based on a plurality of training examples, with a discriminator neural network that outputs a prediction of whether an input to the discriminator neural network is a real distribution map or a synthesized distribution map.