The present system may be deployed in various scenarios to provide proof of liveness (also referred to herein as “liveness verification”) of an image without interaction of the subject of the image. The liveness verification process generally comprises imperative analysis and dynamic analysis of the image, after which liveness of the image may be determined.

A mobile communications device (MCD) including a camera, and an application server (AS) are provided. The MCD is operative to capture an image using the camera, transmit information indicating a time of capturing the image, and information pertaining to a field-of-view of the camera, to the AS, and receive identification information pertaining to one or more persons which are potentially present in the captured image from the AS. The AS is operative to receive information pertaining to positions of persons at respective times, store the received information pertaining to positions of persons at respective times in a database, and receive information indicating a time of capturing an image by a camera included in an MCD, and information pertaining to a field-of-view of the camera, from the MCD.

Accessibility of media associated with mobile devices can be modified based on specific scenarios. For example, historical data associated with a relationship between users of a first mobile device and s second mobile device can be used to prioritize media displayed on one or more of the mobile devices. The historical data can include locations, dates, times, and/or any other relevant characteristics associated with the relationship. Alternatively, media can be displayed on the first mobile device, that is relevant to a user of a second mobile device, in response to a condition associated with a recognition pattern being determined to have been satisfied.

This disclosure describes systems and techniques for synchronizing cameras and tagging images for face authentication. For face authentication by a facial recognition model, a dual infrared camera may generate an image stream by alternating between capturing a “flood image” and a “dot image” and tagging each image with metadata that indicates whether the image is a flood or a dot image. Accurately tagging images can be difficult due to dropped frames and errors in metadata tags. The disclosed systems and techniques provide for the improved synchronization of cameras and tagging of images to promote accurate facial recognition.

A system and method for suspect identification, the computer implemented method including a digital catalogue for users to captured images of suspects whereby the captured images are then compared to existing images having identifying information to identify the suspect. The system also presents to a user “a no trespass” statement containing applicable laws prohibiting unlawful trespass that may be read to a suspect whereby the audio and video of the reading may be captured and stored in the system.

Systems, methods, and/or computer-program products for generating a photo composite are configured to identify a facial photo, assign a community such as a genetic community to the identified facial photo, select and retrieve a subset of photos from a genetic community, determine a landmark in each photo of the subset of photos, compute and apply a similarity transform to each photo based and its landmarks, update estimates of transformed averaged landmarks, calculate a triangularization of the transformed averaged landmarks, warp images to the average image landmarks, and combine the intensities of the warped images. The communities are identified from genetic information. The facial photos are identified from a network of genealogical trees and/or a collection of historical records.

An apparatus includes a memory of a user device and a processor of the user device. The processor is configured to capture an image using an image capture device of the user devices and broadcast a request signal within a range of the user device. The request signal is a request for facial data from compute devices within the range. The processor is configured to receive, in response to the request signal, facial data from each compute device from a set of compute devices within the range and perform, using the facial data received from each compute device from the set of compute devices, facial recognition on the image to identify a match between the facial data from a subset of compute devices from the set of compute devices and facial data from the image. The processor is configured to transmit the image to the subset of compute devices.

Computerized systems, and method and computer readable media that store instructions for unsupervised signature based forensic search.

An electronic device according to one embodiment of the present invention comprises: at least one communication interface; a display; a memory; and at least one processor electrically connected to the at least one communication interface, the display, and the memory, wherein the memory may store instructions which, when executed, cause the at least one processor to: acquire, in response to receiving a request for service information related to broadcast content sent from a content server, at least one image frame included in the broadcast content; determine whether at least one face region has been detected within the at least one image frame; perform, if the at least one face region is determined to have been detected, image analysis on the basis of the detected at least one face region; and provide, through the display, service information corresponding to a result of the image analysis. In addition, various embodiments are possible.

Methods, systems and computer readable medium for object detection coverage estimation are provided. The system for object detection coverage estimation includes a camera and a processing means. The processing means is coupled to the camera to receive image data acquired by the camera, the image data including a detected object. The processing means is configured to determine a spatial coverage of the detected object based on detected object metadata associated with the detected object in the image data received from the camera.