One or more sensors are configured for detection of characteristics of moving objects and living subjects for human identification or authentication. One or more processors, such as in a system of sensors or that control a sensor, may be configured to process signals from the one or more sensors to identify a person. The processing may include evaluating features from the signals such as breathing rate, respiration depth, degree of movement and heart rate etc. The sensors may be radio frequency non-contact sensors with automated detection control to change detection control parameters based on the identification of living beings, such as to avoid sensor interference.

Embodiments relate to a companion animal identification method including acquiring a preview image for capturing a face of a target companion animal, checking if the face of the target companion animal is aligned according to a preset criterion, capturing the face of the target companion animal when it is determined that the face of the target companion animal is aligned, and identifying the target companion animal by extracting features from a face image of the target companion animal having an aligned face view, and an identification system for performing the same.

A method for generating a summary video includes generating a user emotion graph of a user watching a first video. The method also includes obtaining a character emotion graph for a second video, by analyzing an emotion of a character in a second video that is a target of summarization. The method further includes obtaining an object emotion graph for an object in the second video, based on an object appearing in the second video. Additionally the method includes obtaining an image emotion graph for the second video, based on the character emotion graph and the object emotion graph. The method also includes selecting at least one first scene in the second video by comparing the user emotion graph with the image emotion graph. The method further includes generating the summary video of the second video, based on the at least one first scene.

A fingerprint capture system, a fingerprint capture device, an image processing apparatus, a fingerprint capture method, and a storage medium that can acquire a high quality fingerprint image are provided. A disclosed example includes: a capture unit that captures a fingerprint; an image processing unit that processes a transferred fingerprint image captured by the capture unit; a display unit on which the fingerprint image transferred to the image processing unit is displayed; a recording unit where the fingerprint image transferred to the image processing unit is recorded by the image processing unit; and an instruction unit that inputs, in the image processing unit, a record instruction that instructs the image processing unit to record the fingerprint image in the recording unit. The image processing unit records, in the recording unit, the fingerprint image displayed on the display unit at the time the record instruction is input by the instruction unit.

Examples of the present application disclose a data processing method and apparatus, and a storage medium. According to the data processing method, stay time length information of a target person for each of a plurality of vehicle models is obtained, wherein the stay time length information is determined based on at least one visit of the target person. An attention vehicle model of the target person is determined based on the stay time length information for each vehicle model. Information of the attention vehicle model of the target person is sent to a terminal. Thus, the terminal displays the information of the attention vehicle model of the target person on a first interface.

A system receives a digital representation of a biometric for a person, uses the digital representation of the biometric to determine and/or otherwise retrieve identity information associated with the person, and uses the identity information to perform one or more actions related to the person's presence in one or more areas. For example, the system may estimate a path for the person and signal an agent electronic device based on the path. In another example, the system may determine a presence of a person within the area and/or transmit information to an agent electronic device regarding the determined presence. In still another example, the system may receive a request to communicate with the person and forward the communication to the person using the identity information.

A method disclosed in the present invention utilizes an image captured by an image capture device to assist physiological signal paring. Multiple vital signs in the physiological signal detected by a radar are able to be paired with multiple subjects in the image one on one accurately to realize continuous tracking of vital signs of multiple subjects.

An apparatus, system, and method for detecting glints includes a pair of light sources positioned on a head-mounted frame and driven to illuminate a corneal surface of an eye with differential light signals. An image sensor is positioned on the head-mounted frame to receive reflections of the differential light signals from the corneal surface. An orientation of a cornea (e.g., corneal sphere) of the eye may be determined at least partially based on the reflections of the differential light signals.

A display module includes: a liquid crystal module, a cover plate, and a texture recognition unit. The texture recognition unit includes a first light source and a texture sensing module. The first light source is located at a side of the cover plate proximate to the liquid crystal module, and is configured to emit invisible light. The texture sensing module is located at a side of the liquid crystal module facing away from the cover plate. A light wavelength range of light allowed to pass through the cover plate and the liquid crystal module includes a light wavelength range of the invisible light. The texture sensing module is configured to collect reflected light after the invisible light is irradiated to a target object, so as to identify a texture of the target object.

Multifactor authentication techniques described herein may allow a user to submit a recent proof of purchase as a part of a multifactor authentication process to access an account associated with a financial institution. As part of the login process, the user may submit a proof of purchase associated with a transaction. The financial institution may determine information associated with the transaction, such as a merchant associated with the proof of purchase, a time of the transaction, the last four numbers of the transaction card used, a dollar amount, or any combination thereof. If the information matches one or more records in the transaction history of the user's account, the financial institution may authenticate the user and provide access to the account. In this way, the financial institution may leverage transaction history known to the financial institution and the user to authenticate the user.