Abstract: A device and method for non-contact optical imaging of a selected surface area of a user's hand, wherein the surface area is actively guided in a non-contact manner into a target position with respect to an image capture unit. For this purpose, the device has a frame in which the hand is inserted, assuming an actual position, roughly related to the target position. In addition, the device contains at least one active means for localizing the respective actual position and an output unit via which feedback is given to the user and the user iteratively guides the surface area into the target position. Advantageously, the device and method are suitable for distinguishing a natural hand from an artificial hand.

Abstract: An identification system includes a radar sensor configured to generate a time-domain or frequency-domain signal representative of electromagnetic waves reflected from one or more objects within a three-dimensional space over a period of time and a computation engine executing on one or more processors. The computation engine is configured to process the time-domain or frequency-domain signal to generate range and velocity data indicating motion by a living subject within the three-dimensional space. The computation engine is further configured to identify, based at least on the range and velocity data indicating the motion by the living subject, the living subject and output an indication of an identity of the living subject.

Abstract: A biometric authentication system (10) comprises a first imaging unit (11) that images a first image including a living body; a detecting unit (115) that detects a position of the living body in the first image; a second imaging unit (120) that images a second image including an authentication portion of the living body, based on the position of the living body in the first image; a calculating unit (140) that calculates an error between the first imaging unit and the second imaging unit based on the position of the living body in the first image and a position of the authentication portion in the second image; and an adjusting unit (150) that adjusts a set value relating to the second imaging unit, based on the error.

Abstract: A biological data registration support device includes: a control portion configured to acquire a plurality of registration scenarios, each including at least one verification method and associated with respective services, identify a verification method that is commonly included in the plurality of registration scenarios as a common verification method, and acquire one set of biological data for registration regarding the common verification method and one set of biological data for registration regarding the verification method other than the common verification method; and a transmitting portion configured to transmit the biological data for registration and the plurality registration scenarios acquired by the control portion.

Abstract: Aspects of the disclosure relate to computing hardware and software for enhancing collaborative experience security. A computing platform may receive, from a user device, a request to join an enhanced reality collaborative experience involving use of an avatar in an AR or VR environment. The computing platform may verify an authorization channel for the user device, and may grant the user device access to the enhanced reality collaborative experience. The computing platform may receive biometric information corresponding to the user. Using data collected by the user device and the biometric information, the computing platform may perform anomaly detection to detect anomalies in the avatar's participation in the enhanced reality collaborative experience. In response to detecting the anomalies, the computing platform may perform one or more security actions for the enhanced reality collaborative experience.

Abstract: Systems and methods for providing a multi-step identification process using a hybrid edge/server infrastructure to generate machine learned inferences are provided. One example method includes obtaining sensor data of an environment including one or more user. The method includes selecting at least a portion of the sensor data that is associated with the one or more users. The method includes generating, using one or more machine learning models, an intermediate representation of the selected portion of the sensor data that represents the face of the one or more users. The method includes transmitting the intermediate representation and a request for a user identification based on the intermediate representation, the remote computing system configured to perform additional steps of the multi-step identification process using the intermediate representation and the machine-learned system. The method includes receiving a user identifier for the one or more users.

Abstract: A method for detecting a change in an area of interest. The method includes: 1) forming a pointcloud that comprises: i) a first set of points derived from a first set of one or more images and ii) a second set of points derived from a second set of one or more images; 2) for each point included in the pointcloud, assigning a similarity score to the point; 3) for at least each point from the pointcloud that is included in a particular set of points (e.g., for each point in the pointcloud that is assigned a similarity score that exceeds a threshold (e.g. 0)), determining a value Nt and a value Nnew and adjusting the similarity score assigned to the point based on Nt and Nnew; and 4) using the adjusted similarity scores to determine whether the area of interest has changed.

Abstract: This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, an electronic device may detect a portion of a user, such as a hand. The electronic device may then determine locations of the portion of the user relative to the electronic device. Based on the locations, the electronic device may cause a visual indicator to provide instructions to the user for placing the portion of the user at a target location relative to the electronic device. For example, the visual indicator may emit light indicating that the portion of the user is off-centered, angled, too low, and/or too high. After providing the instructions and determining that the portion of the user is at the target location, the electronic device may capture at least an image of the portion of the user and use the image to identify an account.

Abstract: Methods, apparatus, systems, and articles of manufacture are disclosed to improve performance of a compute device by detecting a scene change. An example apparatus includes scene change detection circuitry and interrupt circuitry. The example scene change detection circuitry is to determine a first score value for a first metric of similarity between a first image of a field of view (FOV) of an image sensor and a second image of the FOV, determine a second score value for a second metric of similarity between the first image and the second image, and compute a composite score value based on the first score value and the second score value. The example interrupt circuitry is to generate an interrupt to processor circuitry of the compute device to cause the processor circuitry to adjust a computation condition of the compute device based on the composite score.

Abstract: A biometric scanner apparatus comprising a biometric sensor configured to scan at least a biological sample and receive a unique biometric pattern, a secret data extractor configured to receive the unique biometric pattern from the biometric sensor and generate an output comprising a sample-specific secret, and a sample identifier circuit communicatively connected to the secret data extractor wherein the sample identifier circuit is configured to produce at least an output comprising a secure proof of the sample-specific secret.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.

Abstract: Another aspect of the present disclosure relates to a method for identification verification. The method may include receiving, from a computing device, a request for identification verification of an individual at a web server. The web server may include an orientation verification module and a facial recognition module. The method may include receiving at a database an identification card image and a picture image. The method may include verifying an orientation of the identification card image is oriented relative to an accepted orientation using the orientation verification module. The method may include, if the identification card image is not oriented relative to the accepted orientation, using the web server, iteratively rotating the identification card image in one or more increments and assessing if the identification card image is oriented at the accepted orientation until the identification card image is oriented at the accepted orientation.

Abstract: A method of authenticating a user that includes initializing the multi-factor authentication system based on an input; presenting a challenge requesting the user to enter a specific authenticator of a sequence of authenticators stored in the multi-factor authentication system, where the stored sequence of authenticators represents a combination of a plurality of authentication factors; receiving an authenticator from the user in response to the challenge; verifying identity of the user by determining whether the received authenticator matches the specific authenticator requested by the challenge; and granting the access based on a determination that the received authenticator matches the specific authenticator requested, or denying the access based on a determination that the received authenticator does not match the specific authenticator requested.

Abstract: Provided is a device that includes: a monitoring camera that is arranged at an entrance where an electric lock, which can read a unique ID of each key to be used, is installed, a detection unit configured to detect an operation of the electric lock, and a control unit configured to associate the unique ID of a used key with image data captured by the monitoring camera when an operation of the electric lock has been detected.

Abstract: A biometric identification device may be used to secure passwords and other valuable information. In one implementation, the biometric identification device may be a capacitive fingerprint sensor. Capacitive readings may be used to identify the ridges and valleys of a fingerprint and determine if an object contacting the fingerprint sensor is living tissue. Two-factor identification may be implemented by recognizing the authenticity of biometric inputs and a specific combination or sequence in which the biometric inputs are provided. A user interface is provided in which sequences of biometric inputs are associated with commands. A user may indicate a command by providing a predetermined sequence of fingerprints to a fingerprint scanner.

Abstract: In one embodiment, a method for authenticating a user with an electronic device is disclosed. The method incudes receiving digital sensor data from a motion sensor over a signal acquisition time period; deleting a beginning portion of the digital sensor data prior to the signal acquisition time period; suppressing signal components in the data associated with voluntary movement of the user; signal processing the suppressed digital sensor data to extract signal features representing neuro muscular tone of the user; tabulating the extracted signal features over periods of time into a feature vector table; executing a predictive model with the feature vector table; generating a numerical degree of matching level based on the feature vector table and the user parameter set; and making a determination to either authorize the user or not based on the numerical degree of matching level. The predictive model is trained by a user parameter set.

Abstract: This disclosure describes techniques for providing instructions when receiving biometric data associated with a user. For instance, a device may detect a portion of a user, such as a hand. The device may then display a first graphical element indicating a target location for placing the portion of the user above the user-recognition device. Additionally, the device may determine locations of the portion of the user above the device. The device may then display a second graphical element indicating the locations, such as when the locations are not proximate to the target location. Additionally, the device may display instructions for moving the portion of the user to the target location. Based on detecting that the location of the portion of the user is proximate to the target location, the device may send data representing the portion of the user to a remote system.

Abstract: A system, method and computer program product for continuous monitoring based on biometric information, includes an employee database storing employee information, including an employee name photograph; a notification server transmitting an incoming event, including an employee verification request, including a name of an employee name and a photograph of the employee to be verified; and a verification server couple to the notification server and accessing the employee database, based on the incoming event received from the notification server. The verification server determining if the name of the employee to be verified matches a name in the employee database, and if so, determining if the photograph of the employee to be verified biometrically matches a photograph corresponding to the matching name in the employee database, and if so, transmitting a positive verification result notification including multijurisdictional arrest and conviction data to a customer device via the notification server.

Abstract: A movement detection device includes a signal transmission device configured to transmit a radar signal transmission toward a target area and to receive reflected radar signals, and a signal analysis device configured to analyze the reflected radar signals to detect a movement in the target area that is indicative of micro-shivering. In response to detecting the micro-shivering, the movement detection device generates an alarm.

Abstract: An image-based approach of calibrating an ultrasound-probe is described, wherein at least two ultrasound-images which cross each other are acquired with a tracked ultrasound probe, and wherein the intersection areas of these images, which have been calculated on the basis of the tracked spatial position of the ultrasound probe are checked for similar image content. The grade of similarity gives an indication as to how well the ultrasound probe is calibrated.

Abstract: For one embodiment of the present invention, a method of object detection and part segmentation is described. The method includes generating a three-dimensional (3D) point cloud including a plurality of points in a volume of a space of the point cloud based on receiving point cloud dat. The method further includes obtaining, with a global transformer, a set of global feature tokens and local feature points of the 3D point cloud, enforcing with an attention mechanism information flow across the set of global feature tokens and local feature point, and generating, with the global transformer, a set of new global feature tokens and new local feature points with modeled global context information.

Abstract: Systems and methods for generating dynamically updated metadata using real-time artificial intelligence models. For example, the system may receive a first metadata tag requirement for first metadata of a first media asset. The system may determine a first metadata field for the first metadata based on the first metadata tag requirement. The system may determine a first content population function for the first metadata field. The system may generate the first metadata with the first content population function. The system may generate the first media asset with the first metadata.

Abstract: A biometrics imaging device for capturing image data of a body part of a person comprises a visible light sensor for capturing image data of the body part in the visible light spectrum and/or a near infrared light sensor for capturing image data of the body part in the near infrared light spectrum. The biometrics imaging device comprises a time of flight camera for capturing three dimensional image data of the body part. The biometrics imaging device executes a procedure which includes: capturing three dimensional image data of a current body part posture; determining based of the image data a difference between a desired body part posture and the current body part posture; providing based on the determined difference user guidance to enable the person to adapt the body part posture in direction of the desired posture; and capturing image data in the visible light spectrum and/or image data in the infrared light spectrum.

Abstract: An information processing apparatus includes a processor configured to control change of an image in accordance with a situation in a place where authentication is executed, the image being formed in air to indicate a position where information is to be read in a non-contact manner from an object used for the authentication.

Abstract: Provided is an image acquisition apparatus including a first hyperspectral image sensor configured to obtain a first image, and a processor configured to process the first image obtained by the first hyperspectral image sensor, wherein the processor is further configured to extract a spectrum of each pixel of the first image obtained by the first hyperspectral image sensor, correct the spectrum by normalizing the spectrum of each pixel, distinguish an object from a background within the first image by recognizing a pattern of the spectrum of each pixel, and correct a color of the object and a color of the background by using a spatial distribution of illuminations.

Abstract: A method for identifying a hand pose in a vehicle involves identifying a hand image for a hand in the vehicle by extraction from a vehicle image of the vehicle. A plurality of contextual images of the hand image is obtained based on the single point. Each of the plurality of contextual images are processed using one or more layers of a neural network to obtain a plurality of contextual features associated with the hand image. A hand pose associated with the hand is identified based on the plurality of contextual features using a classifier model.

Abstract: An imaging device and an authentication controller are provided. The imaging device includes a modulator that includes a first pattern and that modulates light intensity with the first pattern, an image sensor that converts a light beam transmitted through the modulator into imaging data and outputs the imaging data, an image processing unit that performs, to the imaging data, a reconstruction process in which an image of the subject is reconstructed based on the cross-correlation operation between the imaging data and the pattern data having a second pattern and acquires an image, and a distance measurement unit that repeats the reconstruction process to the imaging data while changing a focus distance and acquires a focus distance having a highest contrast in a measurement region as a distance. The authentication controller performs image authentication and distance authentication using image data and distance data acquired by the imaging device.

Abstract: Face image data is acquired and a face image is captured, and a difference between a face image indicated by the face image data and the face image that is captured or a candidate of the difference is detected on the basis of at least one of the face image indicated by the face image data that is acquired, and the face image that is captured. Guidance is acquired on the basis of the difference or the candidate of the difference which is detected, and an output unit is controlled to output the guidance.

Abstract: A face liveness detection method is performed by an electronic device. The method includes: obtaining an initial face image of an object and a face image set of the object captured at N different illumination directions; obtaining N difference images according to the initial face image and the N face images in the face image set; generating a normal map and an albedo map according to the N difference images and the N illumination directions; and determining a face liveness detection result according to the N difference images, the normal map, and the albedo map, the face liveness detection result indicating whether the object has a live face or not. In this application, three-dimensional (3D) geometric information and surface material information of a face image are considered, thereby recognizing the authenticity of the face image, and effectively resisting different face liveness attack manners.

Abstract: A novel authentication system is provided. In addition, a method for recording an unlocking history is provided. The authentication system includes an arithmetic device and an input/output device. The arithmetic device supplies first control data and second control data, and is supplied with a sensor signal. The input/output device includes an electric lock and a reading portion, and the electric lock is unlocked on the basis of the second control data. The reading portion is supplied with the first control data, supplies the sensor signal, and includes a light-emitting element and a pixel array. The light-emitting element emits light including infrared rays, the pixel array includes pixels, the pixels each include an imaging circuit and a photoelectric conversion element, the imaging circuit is electrically connected to the photoelectric conversion element, the imaging circuit includes a transistor, and the transistor includes an oxide semiconductor film.

Abstract: An electronic device may have a display with an array of pixels. The device may have an array of components such as an array of light sensors for capturing fingerprints of a user through an array of corresponding transparent windows in the display. A capacitive touch sensor, proximity sensor, force sensor, or other sensor may be used by control circuitry in the device to monitor for the presence of a user's finger over the array of light sensors. In response, the control circuitry can direct the display to illuminate a subset of the pixels, thereby illuminating the user's finger and causing reflected light from the finger to illuminate the array of light sensors for a fingerprint capture operation. The display may have display driver circuitry that facilitates the momentary illumination of the subset of pixels with uniform flash data while image data is displayed in other portions of the display.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.

Abstract: Biometric input, such as an image of a hand, may be processed to determine embedding vector data that may be used to identify users. Accuracy of the identification is improved by using high resolution inputs to a deep convolutional neural network (DCNN) that is trained to generate the embedding vector data that is representative of features in the input. Training data sets are expensive to develop and thus may be relatively small. During training of the DCNN, confidence loss values corresponding to the entire input as well as particular patches or portions of the input are determined. These patch-wise confidence loss values mitigate potential overfitting during training of the DCNN and improve overall performance of the trained DCNN to determine embedding vector data suitable for identification.

Abstract: Provided are a fingerprint reading device and a fingerprint reading method that can appropriately read a fingerprint even when reading a fingerprint of a relatively soft finger that may be easily subjected to significant elastic deformation. The fingerprint reading device includes: a placement portion on which a finger is placed, provided with a reading face so as to be able to move between first and second positions; a drive unit that causes the reading face to move between the first and second positions; and a reading unit that reads a fingerprint when the reading face is positioned at the first position, the drive unit causes the reading face to move to the second position and further move from the second position to the first position, and the reading unit reads a fingerprint when the reading face has moved from the second position to the first position.

Abstract: An information processing system includes a plurality of vehicle; and a server that is able to communicate with the plurality of vehicles. Each of the plurality of vehicles performs: generating a moving image in which a person outside the vehicle appears; and transmitting the moving image and an imaging time and an imaging position of the moving image to the server. The server performs: specifying two or more target moving images in which the same person appears out of a plurality of moving images received from the plurality of vehicles; detecting behavior of the person from the two or more target moving images; estimating attribute information of the person based on the detected behavior; and transmitting the estimated attribute information of the person and the imaging time and the imaging position of at least one of the target moving images to a client.

Abstract: Systems and methods for generating dynamically updated metadata using real-time artificial intelligence models. For example, the system may receive a first metadata tag requirement for first metadata of a first media asset. The system may determine a first metadata field for the first metadata based on the first metadata tag requirement. The system may determine a first content population function for the first metadata field. The system may generate the first metadata with the first content population function. The system may generate the first media asset with the first metadata.

Abstract: An evaluation method of a biometric identification function implemented from a candidate biometric data set and a reference biometric data set, the biometric identification function, applied to a candidate biometric data item and a reference biometric data item, returning a match, the method comprising steps of: obtaining pairs of false matches, each pair comprising a candidate biometric data item and a reference biometric data item not associated with a same known individual; determining, for each candidate biometric data item in a pair, a first number associated with said item and equal to the number of pairs of false matches obtained comprising said item, and/or a second number associated with said reference biometric data item and equal to the number of pairs of false matches obtained comprising said item; calculating a bias score based on a maximum of the first numbers and/or based on a maximum of the second numbers.

Abstract: In some implementations, a server device may receive, from a client device, a login credential associated with a user and a request to access a resource. The server device may identify a confidant associated with the user and a confidant device associated with the confidant, wherein the confidant device is different from a user device associated with the user. The server device may transmit, to the confidant device, a request to verify an identity of the user. The server device may determine whether a verification of the identity of the user is received from the confidant device. The server device may grant or deny access to the resource based on determining whether the verification of the identity of the user is received from the confidant device.

Abstract: An embodiment of the present application provides an optical fingerprint identification apparatus, which includes: at least one non-visible light source, configured to emit non-visible light to a human finger to provide excitation light for fingerprint identification; an optical component, disposed under a fingerprint detecting area of the display screen, and configured to receive signal light scattered and reflected by the human finger; and a fingerprint sensor configured to perform imaging based on the signal light passing through the optical component, where a working wave band of the fingerprint sensor is the same as a light emitting wave band of the non-visible light source, a number of the working wave bands is the same as the number of the light emitting wave bands, and the fingerprint sensor is connected to the non-visible light source, and is configured to control the non-visible light source to actively emit light.

Abstract: A pair of input images acquired using a first modality and a second modality is processed using a multi-classifier trained to determine classification data indicative of whether the pair is normal or abnormal. A pair may be deemed abnormal if one or both input images are obscured or inconsistent with one another. Training data comprising normal and abnormal images are used to train the multi-classifier. During training, the multi-classifier uses an objective function that includes cross entropy loss, distance loss, and discrepancy loss to process the training data. During use, the trained multi-classifier processes a pair of input images. If the resulting classification data indicates the pair of input images are normal, the pair of input images may be processed to assert an identity.

Abstract: The present disclosure provides an alert task processing method, a terminal, and a computer-readable storage medium. The alert task processing method includes: receiving a first input of a first operator; performing a screen capturing operation, outputting a screenshot, and obtaining first biometric feature information of the first operator in response to the first input; and performing a target alert task based on the screenshot and the first biometric feature information.

Abstract: A biometric recognition apparatus and fingerprint feature extraction method can automatically optimize parameters used for extracting a feature template from a biometric image. The biometric recognition apparatus includes: a teacher data generation unit that generates a genuine pair and an imposter pair of first and second biometric images; a learning data generation unit that uses a plurality of different temporary parameters to extract feature templates from the first biometric image and the second biometric image; and an optimum solution determination unit that calculates a score separation degree on the temporary parameter basis based on a first score representing a similarity degree of a pair of the feature templates extracted from the genuine pair and a second score representing a similarity degree of a pair of the feature templates extracted from the imposter pair and determines the temporary parameter based on a level of the score separation degree.

Abstract: Systems and methods related to a lock for providing contactless secure access to an automobile are described. A current state of the lock can be changed based on an exchange of information, via a wireless interface, between a mobile device and the lock. The exchange of information includes a use of a sharable digital key associated with at least one of a set of persons authorized to change a state of the lock. The exchange of information is configurable to operate in a first mode or a second mode. In the first mode, no identity-related information from at least one set of persons attempting to change the state of the lock to is required. In the second mode, identity-related information from at least one of a set of persons attempting to change the state of the lock is required.

Abstract: In one embodiment, a vision aided navigation system comprises: at least one image sensor configured to produce image frames of a surrounding environment; a feature extractor configured to extract at least one image feature from a first image frame; a navigation filter configured to output a navigation solution based navigation data from a navigation device and changes in position of the image feature in the images; a feature tracker to receive the image frames and predict a location of the image feature in a subsequent image frame; a dynamic localized parameter adjuster to adjust at least one image parameter of the subsequent image frame; and wherein the feature tracker is configured so that when the image feature cannot be identified in the subsequent image frame within a bounded region around the predicted location, the dynamic localized parameter adjuster adjusts the at least one image parameter within the bounded region.

Abstract: A non-transitory computer-readable medium including a face authentication program for causing a computer device that executes face authentication using a plurality of face information registered in a storage unit with respect to a captured face image of a user to implement the following functions including a determination function of determining face information to be used for the face authentication from among the plurality of face information based on position estimation information of a user corresponding to each of the plurality of face information, which is registered in the storage unit in association with each of the plurality of face information, and a predetermined condition, and an authentication function of performing the face authentication using the determined face information with respect to the captured face image of the user.

Abstract: An authentication engine, residing at one or more computing machines, receives, from a vision device comprising one or more cameras, a probe image. The authentication engine generates, using a trained facial classification neural engine, one or more first labels for a person depicted in the probe image and a probability for at least one of the one or more first labels. The authentication engine determines that the probability is within a predefined low accuracy range. The authentication engine generates, using a supporting engine, a second label for the person depicted in the probe image. The supporting engine operates independently of the trained facial classification neural engine. The authentication engine further trains the facial classification neural engine based on the second label.

Abstract: A method comprises receiving, by a computing system from a signing party, a signing party identifier and a token. The token includes an encrypted biometric sample encrypted using an encryption key and an encrypted record of an electronic agreement encrypted using the encryption key, the encrypted record cryptographically bound with the encrypted biometric sample. The method further includes receiving, by the computing system from the signing party, a message and determining, based on the message, that the signing party is rescinding the electronic agreement. The computing system then retrieves a stored knowledge factor associated with the signing party identifier, generates a decryption key using the stored knowledge factor as an input to a password authenticated key exchange protocol, decrypts the encrypted biometric sample from the token using the decryption key to retrieve a biometric sample, and transmits the biometric sample to the signing party.

Abstract: Techniques are described for identifying and/or authenticating entities using a combination of independent identification technologies and/or platforms. In one embodiment, a system can comprising a memory that stores computer executable components and a processor that executes the computer executable components stored in the memory. The computer executable components can comprise a reception component that receives image data captured of a person, and an identification component that employs two or more independent identification technologies and/or platforms to determine an identity of the person based on the image data. In some embodiments, the two or more independent identification technologies are selected from a group consisting of: facial recognition, object recognition, text recognition, and gait recognition.

Abstract: An electronic tag device includes: a processor, an OBD circuit and a radio frequency identification (RFID) tag chip; the processor is used to transmit an OBD data request command set to an OBD interface of a vehicle through the OBD circuit to thereby enable the vehicle to output OBD data in response to the OBD data request command set; and the processor is further configured to obtain target OBD data based on the OBD data obtained from the OBD interface of the vehicle through the OBD circuit and convert the target OBD data; and the RFID tag chip is configured to obtain and store the converted target OBD data from the processor to thereby allow a server to obtain the converted target OBD data from the RFID tag chip. The electronic tag device can be used in the variety of application scenes.

Abstract: The disclosure is detecting an authentication target who is moving in a predetermined direction in a video; inputting a first image in which an entire body of the target; calculating characteristic information from an image of the entire body in the first image, comparing the calculated characteristic information with characteristic information of the entire body stored in first memory that stores characteristic information of entire bodies of targets, and extracting candidate information of the targets from the first memory based on a first authentication result; inputting a second image in which an iris of the target; and comparing characteristic information of irises stored in second memory that stores the characteristic information of the irises of targets with characteristic information of an iris from the second image, calculating a verification score, executing second authentication on the target in the second image based on the verification score, and outputting an authentication result.