A method for operating an adaptive gateline may include detecting a patron approaching a gateline. The method may include determining whether the gateline should be operated in a standard mode or in a modified mode based at least in part on data from one or more sensors. The method may include operating the gateline in the standard mode or in the modified mode based on the determination. In the modified mode a barrier of the gateline operates to provide one or both of extra time or additional space for the patron to pass through the gateline relative to the standard mode.

Biometrics are increasingly used to provide authentication and/or verification of a user in many security and financial applications for example. However, “spoof attacks” through presentation of biometric artefacts that are “false” allow attackers to fool these biometric verification systems. Accordingly, it would be beneficial to further differentiate the acquired biometric characteristics into feature spaces relating to live and non-living biometrics to prevent non-living biometric credentials triggering biometric verification. The inventors have established a variety of “liveness” detection methodologies which can block either low complexity spoofs or more advanced spoofs. Such techniques may provide for monitoring of responses to challenges discretely or in combination with additional aspects such as the timing of user's responses, depth detection within acquired images, comparison of other images from other cameras with database data etc.

To provide a technology of more accurately detecting spoofing in face authentication, without increasing a scale of a device configuration and a burden on a user. A spoofing detection device includes a facial image sequence acquisition unit, a line-of-sight change detection unit, a presentation information display unit, and a spoofing determination unit. The facial image sequence acquisition unit acquires a facial image sequence indicating the face of a user. The line-of-sight change detection unit detects information about a temporal change in the line-of-sight from the facial image sequence. The presentation information display unit displays presentation information presented to the user as part of an authentication process. The spoofing determination unit determines the likelihood of the face indicated by the facial image sequence being spoofing on the basis of the information about the temporal change in the line-of-sight with respect to the presentation information.

A live web camera feed and streaming transmission system and method for gathering, identifying and authenticating biometric data of a specific human being while constantly monitoring, tracking, analyzing, storing and distributing dynamic biometric data to ensure authorized access to the secured system continues via positive live feed monitoring of biometric data for participating computer systems and or programs. Multiple, correlative, inseparable, embedded serial numbers allow for editing within a live video recording session because the serial numbers are “attached” to one another from frame to frame. The degree of identity verification correlated with the various serial numbers, directly affects an indelible, detectible, identity verification cumulative authentication rating score in conjunction with a recognizable and standardized, indelible, detectible, hyperlinked color-coded security badge displaying the degree of identity authentication. If any one of these components that work cooperatively and correlatively is tampered with in any regard, the video is rendered inoperable.

A process of presenting statements captured at an incident scene. First real-time multimedia streams captured corresponding to an incident scene are converted into digital statements. Each statement is tagged to a person identity that is determined based on a biometric attribute extracted from the multimedia streams. When a responder arrives at the incident scene, second real-time multimedia streams are captured corresponding to the incident scene and an identity of a person present at the incident scene is determined. If the identity of the person determined from the second multimedia streams matches with the person identity determined from the first multimedia streams, statements tagged to the person identity are selected and a post-arrival notification is generated for the responder indicating a presence of the person at the incident scene and including the selected statements. The notification is then provided via a visual and/or audio output device operated by the responder.

An electronic device including a display device configured to render first content. The electronic device is communicably coupled to the display device and controls one or more imaging devices to receive one or more images from the one or more imaging devices. The electronic device further determines a first position of one or more living objects within a pre-defined region from the display device, based on the received one or more images and the rendered first content. The electronic device further controls an orientation of the display device towards the determined first position of the one or more living objects.

In some aspects, a device may detect that an object is contacting a display of the device. The device may illuminate, based at least in part on detecting that the object is contacting the display, a plurality of pixel regions of the display. The plurality of pixel regions may be illuminated sequentially. The device may obtain, using one or more photosensors, a set of data relating to light that is reflected from at least a portion of the object based at least in part on illuminating the plurality of pixel regions. The set of data may include respective data for each sequential illumination of the plurality of pixel regions. The device may generate an image of at least the portion of the object based at least in part on the set of data. Numerous other aspects are described.

Disclosed are an intelligence device and a method of selecting a user of the intelligence device. According to an embodiment of the disclosure, the intelligence device may analyze the eye blinks and pupil shapes of persons and select the person gazing at the intelligence device as a user. According to an embodiment, the intelligence device may be related to artificial intelligence (AI) modules, robots, augmented reality (AR) devices, virtual reality (VR) devices, and 5G service-related devices.

Disguised Face Identification (DFI) system and method for identifying multiple individuals with disguised faces in uncontrolled environments/scenarios is provided. The Disguised Face Identification (DFI) system and method includes detecting facial landmarks/facial key-points and performing face identification using the ScatterNet Hybrid Deep Learning (SHDL) Network. The system also can be evolved, after deployment, by the user as it provides one with an ability to add new faces to a known face database which are identified by the system thereafter. Further includes two facial disguise (FG) datasets, the datasets are simple facial disguise (FG) datasets and complex facial disguise (FG) datasets for training the deep convolutional networks.

A guide display system includes: a user terminal; a checkpoint terminal; and a server, in which the server includes: a specifying unit that uses biometric information obtained from the checkpoint terminal to specify person identification information for identifying a user associated with the biometric information; an obtaining unit that obtains date and time information indicating a date and time when the user passed through a checkpoint; a selection unit that selects, based on the obtained date and time information, one or more destinations from destination information indicating a plurality of destinations that are registered in association with the specified person identification information and are the destinations of the user; and a display information generation unit that generates display information for displaying the guide display corresponding to the one or more selected destination on the user terminal.