A method and an apparatus for early warning of climbing behaviors, an electronic device, and a storage medium are disclosed. The method includes: acquiring video image data including a monitored target and at least one object (11); acquiring behavior information of the at least one object when it is determined that the at least one object enters a target area corresponding to the monitored target (12); marking video frames in which the at least one object is included when it is determined that the behavior information indicates that the at least one object climbs the monitored target (13). By marking the video frames in the video image data, the behavior of the object climbing the monitored target can be found in time, and the management efficiency can be improved.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for fast user enrollment for facial recognition using face clustering. One of the methods includes identifying, from a set of face images of faces, clusters of face images, where the clusters of face images include a particular cluster; receiving, from a device, an indication that the particular cluster includes a first subcluster of face images that depict a first person and a second subcluster of face images that depict a second person; in response to receiving the indication, determining that a number of face images in the first subcluster of face images that depict the first person does not satisfy an enrollment criteria; identifying another cluster of face images that depict the first person; and enrolling, in a facial recognition database, the first person using the other cluster of face images.

A method for addressing a shopper's eligibility for frictionless checkout may include identifying at least one shopper in a retail store designated as not eligible for frictionless checkout; in response to the identification of the at least one shopper designated as not eligible for frictionless checkout, automatically identifying an ineligibility condition associated with the at least one shopper's designation as not eligible for frictionless checkout; determining one or more actions for resolving the ineligibility condition; causing implementation of the one or more actions for resolving the ineligibility condition; receiving an indication of successful completion of the one or more actions; and in response to receipt of the indication of successful completion of the one more actions, generating a status indicator indicating that the at least one shopper is eligible for frictionless checkout and storing the generated status indicator in a memory.

The present disclosure relates to systems and methods for selecting a best facial image of a target human face. The methods may include determining whether a candidate facial image is obtained before a time point in a time period threshold, wherein the candidate facial image has a greatest quality score of the target human face among a plurality of facial images of the target human face; in response to a determination that the candidate facial image is obtained before the time point, determining the candidate facial image as the best facial image of the target human face; and storing the best facial image together with a face ID and the greatest quality score of the target human face in a face log.

Provided are systems and methods for personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with metadata that include a first location and a second location and receiving an image of a source face and a further image of a further source face, modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face, inserting, in the at least one frame of the video, the image of the modified source face at the first location and the image of the modified further source face at the second location to generate a personalized video, and sending the personalized video via a communication chat.

A unit cell for use in an optical active pixel sensor (APS) includes a photodiode having a first terminal connected to a photodiode biasing PDB line, and a second terminal opposite from the first terminal; a reset switch transistor having a first terminal connected to the second terminal of the photodiode, and a second terminal connected to a reference voltage line, and a gate of the reset switch transistor is connected to a reset signal RST supply line; and an amplification transistor having a first terminal connected to an output readout line, and a second terminal connected to a driving voltage supply line, and a gate of the amplification transistor is connected to a node constituting the connection of the second terminal of the photodiode and the first terminal of the reset switch transistor. An optical APS device includes a sensor matrix formed of a plurality of unit cells according to any of the embodiments arranged in an array of rows and columns.

A system for limiting vehicle operation is disclosed. The system may comprise one or more memory units for storing instructions and one or more processors configured to execute the instructions to perform operations. The operations may comprise determining that a key device is inside the vehicle; performing an authentication; setting the vehicle in a first vehicle mode; starting the vehicle based on the determination and the first authentication; and limiting vehicle operation based on the first vehicle mode.

Disclosed herein an artificial intelligence (AI) apparatus for controlling authority to use an external device based on user identification using image recognition including a memory configured to store information on a user registered in the AI apparatus and authority information indicating whether a user is capable of use at least one external device under a predetermined condition, a communicator configured to receive a first image file obtained by photographing an environment including the at least one external device, a learning processor configured to provide the first image file to an image recognition model for specifying a face of a person included in an image file and an external device to be used by the person to specify first face information of a person included in the first image file and information on a first external device to be used by the person in the first image file, and a processor configured to control use of the first external device by the first user based on the authority, by acquiring a first user corresponding to the first face information and authority information of the first user.

A method and electronic device for determining relevant signals in radar signal processing. The electronic device includes a radar transceiver, a memory, and a processor. The processor is configured to cause the electronic device to obtain, via the radar transceiver of the electronic device, radar measurements for one or more modes in a set of modes; process the radar measurements to obtain a set of radar images; identify relevant signals in the set of radar images based on signal determination criteria for an application; and perform the application using only the relevant signals.

Computer systems and methods are provided for receiving a first authentication request that includes an image of an identification document. A risk value is determined using one or more information factors that correspond to the authentication request. A validation user interface that includes the image of the identification document is displayed. A risk category that corresponds to the risk value is determined using at least a first risk threshold. In accordance with a determination that the risk value corresponds to a first risk category, a visual indication that corresponds to the first risk category is displayed. In accordance with a determination that the risk value corresponds to a second risk category, a visual indication that corresponds to the second risk category is displayed.