An apparatus is provided comprising: a determination unit configured to determine a possibility of an abnormality of a subject based on images captured by a surveillance camera with an audio output function; an instruction unit configured to instruct the surveillance camera to produce audio toward the subject in response to the determination of the possibility of an abnormality; an acquisition unit configured to acquire a reaction of the subject to the audio from the surveillance camera; and a detection unit configured to detect whether the subject has an abnormality or not based on the reaction of the subject to the audio.

A method and system for emergency responses can evaluate media data. An appropriate authority device or system can analyze media data such as a picture provided by an eyewitness' device to determine whether emergency relevant objects are visible in the media data and assigns confidence values to them. Furthermore, the location of the objects and the location of the media data can be determined to verify the authenticity of the possible emergency and to respond with the appropriate emergency response.

A low-cost, low-power, stand-alone sensor platform having a visible-range camera sensor, a thermopile array, a microphone, a motion sensor, and a microprocessor that is configured to perform occupancy detection and counting while preserving the privacy of occupants. The platform is programmed to extract shape/texture from images in spatial domain; motion from video in time domain; and audio features in frequency domain. Embedded binarized neural networks are used for efficient object of interest detection. The platform is also programmed with advanced fusion algorithms for multiple sensor modalities addressing dependent sensor observations. The platform may be deployed for (i) residential use in detecting occupants for autonomously controlling building systems, such as HVAC and lighting systems, to provide energy savings, (ii) security and surveillance, such as to detect loitering and surveil places of interest, (iii) analyzing customer behavior and flows, (iv) identifying high performing stores by retailers.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for active threat tracking and response. One of the methods includes determining, using sensor data generated by one or more sensors located at one or more properties, that an active threat is in progress at the one or more properties; accessing a virtual model i) of the one or more properties ii) that includes a position of each of the one or more sensors; determining, using the sensor data and the virtual model and for each of two or more areas of the one or more properties, a threat level of the active threat at the respective area; and performing, using the threat level of the active threat at each of the two or more areas of the one or more properties, one or more monitoring system actions.

Examples of systems and methods for audio transcription are described. Audio data may be obtained from multiple recording devices at or near a scene. Audio data from multiple recording devices may be used to generate a final transcription. For example, when transcribing audio data from one recording device, audio data from another recording device may be used to generate the final transcript. The data from the second recording device may be used when it is determined that the recording devices were in proximity at the time the relevant portions of audio data were recorded and/or when a portion of the audio from the second recording device is verified to correspond with a portion of the audio from the first recording device. In some examples, data from the second recording device may be used when data from the first recording device is determined to be of low quality.

A multi-point detection system includes one or more light sources, one or more light sensors, and a controller. The light sources are configured to emit an array of collimated light beams, and the light sensors define an array of lines of view. Each of the lines of view intersect different ones of the collimated light beams at respective detection nodes. The light sensors are operable to emit sensor signals responsive to received scattered light from interaction of the collimated light beams with an analyte at the detection nodes. The controller is connected to receive the sensor signals and configured to determine from the scattered light whether the analyte contains a contaminant.

An event detection unit (EDU) for detecting an explosive event is provided. The EDU includes different types of sensors for measuring characteristics of an explosive event. The EDU includes an event notification component. The EDU also includes a processor that receives a measurement from the sensors and generates a combined non-event probability and a combined event probability based on that measurement that indicates a likelihood that an explosive event has not occurred or has occurred. The processor determines whether an explosive event has occurred based on the non-event probabilities and event probabilities. When an explosive event has been determined to occur, the processor directs the event notification component to output a notification that an explosive event has occurred.

An electronic monitoring system is described that receives data from a particular monitoring system, receives data from multiple other monitoring systems, analyzes data received from the particular monitoring system irrespective of data received from the multiple other monitoring systems, based on the analysis, determines whether one or more events occur at the particular environment, and in response to determining that a particular event occurs at the particular environment, evaluates the particular event against a set of rules, selects, based on the evaluation results, a particular subset of the multiple other monitoring systems to serve as a cooperative monitoring network, assesses data received from the particular subset of the multiple other monitoring systems, based on the assessment, tracks, in connection with the particular event, events detected by the particular subset of the multiple other monitoring systems, and handles the particular event based on the tracked events.

Various arrangements for handling a potential security situation using a home automation system are presented. A biometric measurement of a user may be received. An alert from a home automation device in wireless communication with the home automation host system may be received. If the biometric measurement is associated with the alert, a security response action may be performed.

The present disclosure discloses an object detection method used in an object detection apparatus that includes the steps outlined below. An image signal received from an image sensor is detected to generate an image detection signal when an image variation is detected. An infrared signal received from an infrared sensor is detected to generate an infrared detection signal when an infrared energy variation is detected. A time counting process is initialized when the image detection signal is generated. An object detection signal is generated when the infrared detection signal is generated within a predetermined time period after the time counting process is initialized. A detection distance of the image sensor is larger than a detection distance of the infrared sensor.