Techniques for prioritization of media related to an incident are provided. Confirmed incident related media may be retrieved, the confirmed incident related media having been confirmed as being associated with the incident. Artifacts of interest may be identified in the confirmed incident related media. Presence of the artifacts of interest in a plurality of received media may be determined. The plurality of received media may be prioritized based on the presence of the artifacts of interest.

A drive recorder includes: an imaging unit, an image processing unit, a position information acquisition unit, a communication unit, and a function control processing unit. The imaging unit captures an image of a neighborhood of a vehicle. The image processing unit records the image captured by the imaging unit in a recording medium. The position information acquisition unit acquires position information on the vehicle. The communication unit communicates with a server apparatus to deliver information including the position information. The function control processing unit acquires area information transmitted from the server apparatus based on the position information, the area information relating to an area in which the vehicle is located.

A quantum computing based video alert system converts captured video and audio signals, in real time, into a sequence of video qubits and a sequence of audio qubits. An entanglement score is generated based on a comparison of the video qubits to historical video qubits that are verified to show malicious activity. A second entanglement score is generated based on a comparison of the audio qubits to historical audio qubits that are verified to show malicious activity. A probability score is generated for each segment of the video qubit sequence and for each segment of the audio qubit sequence. If the probability score for the video qubit sequence, the audio qubit sequence, or a combination of probability scores for both the video qubit sequence and the audio qubit sequence meet a threshold, then an alert is generated to identify possible malicious activity at the location of a CCTV camera capturing the real-time data.

An embodiment mobility guidance system includes a sensor provided in a mobility and configured to capture a driving video or an image to transmit the driving video or the image, a memory configured to store a danger zone image, a detector configured to compare the driving video or the image captured by the sensor with the danger zone image stored in the memory to detect an existence of a danger zone on a driving path of the mobility, and a guide configured to set a guide zone in response to the detector detecting the existence of the danger zone and a change in a speed or an acceleration of the mobility, and to provide the guide zone to a second mobility.

Described herein are techniques that may be used to identify a portion of media data to be prioritized. Such techniques may comprise receiving, from a media collection device, media information that includes a first media data and at least one of trigger data or sensor data, determining, based on one or more of the trigger data or the sensor data, that a portion of the first media data is to be prioritized, identifying, based on one or more of the trigger data or the sensor data, a beginning and end time to be associated with a second media data that includes the portion of the first media data, and generating the second media data from the received first media data based on the beginning and ending time, the second media data including less than the entirety of the first media data.

A smart communications hub can enable management of driverless and/or autonomous vehicles. Separating current wireless data from driverless vehicle sensor data can allow for quicker resolutions involving driverless vehicles. The smart communications hub can communicate to other groups such as driverless vehicle providers, service providers, vehicle management, law enforcement, etc. The smart communications hub can also process request from both mobile applications and micro-service applications.

One variation of a method for monitoring occupancy in a work area includes, at a sensor block: transitioning from an inactive state into an active state when an output of a motion sensor indicates motion in a work area; during a scan cycle in the active state, recording an image through an optical sensor at a time, detecting a set of humans in the image, detecting a second set of human effects in the image, predicting a second set of humans occupying but absent the work area based on the second set of human effects, and estimating a total occupancy in the work area at the time based on the set of humans and the second set of humans; and transmitting the total occupancy to a remote computer system for update of a scheduler for the work area.

An apparatus configured to, based on first imagery (301) of at least part of a body of a user (204), and contemporaneously captured second imagery (302) of a scene, the second imagery comprising at least a plurality of images taken over time, and based on expression-time information indicative of when a user expression of the user (204) occurs, provide a time window (303) temporally extending from a first time (t−1) prior to the time (t) of the expression-time information, to a second time (t−5) comprising a time equal to or prior to the first time (t−1), the time window (303) provided to identify at least one expression-causing image (305) from the plurality of images of the second imagery (302) that was captured in said time window, and provide for recordal of the at least one expression-causing image (305) with at least one expression-time image (306) comprising at least one image from the first imagery (301).

Exemplary embodiments of this disclosure provide a living body detection method and apparatus, an electronic device, a storage medium, and a payment system, a video surveillance system, and an access system to which the living body detection method is applied, and generally belong to the field of biometric recognition technologies. The living body detection method can include obtaining an image of a to-be-detected object performing key point detection on a biometric feature corresponding to the to-be-detected object in the image, and constructing a constraint box in the image according to detected key points. Further, the method can include capturing a shape change of the constraint box constructed in the image, and determining the to-be-detected object as a prosthesis in response to capturing an abnormal deformation of the constraint box or detecting no key points.

This disclosure provides methods, devices, and systems for controlling motion-activated switches. The present implementations more specifically relate to relay controller that prevent motion-activated switches from turning off devices associated with an environment in which people are present. In some aspects, a motion-activated switch may include a relay controller coupled to a motion sensor, a camera, and a relay. The motion sensor outputs a motion trigger to the relay controller responsive to detecting motion in an environment. The motion trigger may cause the relay controller to acquire one or more images of the environment, via the camera, and selectively toggle the relay based on the acquired images. For example, the relay controller may close the relay responsive to identifying an image that includes an object of interest or may open the relay controller may open the relay responsive to identifying an image that does not include an object of interest.