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: 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: 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: 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: 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: 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: 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: 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: 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: 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 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: 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: 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: 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: 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: 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 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: 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: 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: A button assembly for an electronic device is disclosed. The button assembly integrates a biometric sensor below a top surface of the button. The button assembly is positioned relative to a secondary display of an electronic device. The secondary display can be positioned relative to a keyboard, such as above a top row of keys of the keyboard.

Abstract: Described are systems and methods for providing an authorized user access to a restricted area using a combination of biometric identification factors, such as facial feature recognition, and wireless detection of a device associated with the authorized user.

Abstract: A system and method for dynamically ordering video streams on display in a command and control system according to video content, including obtaining a plurality of video streams captured by a plurality of respective video cameras; extracting features from the plurality of video streams; calculating abnormality scores for the extracted features, wherein each abnormality score measures a likelihood that a corresponding feature is an abnormal feature; calculating a current rank for ordering each of the plurality of video streams based on current and past abnormality scores of the features extracted from the video stream; and displaying a subgroup of the plurality of video streams having the highest subset of current ranks based on abnormality scores.

Abstract: An information processing device of the present invention includes: an image processing means that extracts a feature value of an object within a captured image obtained by capturing a pre-passing region of a gate, and stores matching information relating to matching of the object based on the feature value; a distance estimating means that estimates a distance from the gate to the object within the captured image; and a matching means that executes matching determination based on the estimated distance and the stored matching information of the object that the distance has been estimated.

Abstract: Provided herein are systems and methods for implementing a video surveillance system. In one or more examples, the improved system can include a video managing system that applies one or more watchlists, to video footage captured by surveillance cameras to apply one or more processing policies indicated by the one or more watchlists. In some embodiments, a watchlist may indicate a plurality of events of interest (e.g., specific classes of objects, a presence of one or more persons, or one or more persons of interest, etc.) that should be detected from video footage. Through these mechanisms, video processing can be increased since the types of events of interest that need to be detected within the video footage are reduced. Non-transitory storage requirements are reduced, and human labor requirements to monitor, analyze, and review video surveillance footage is reduced.

Abstract: Examples relate to an optical imaging system, and to a corresponding apparatus, method and computer program for an optical imaging system. The optical imaging system comprises one or more information sources for providing information about a current orientation of the optical imaging system towards at least a part of an object of interest. The optical imaging system comprises one or more output modules for providing guidance information for a user of the optical imaging system. The optical imaging system comprises a processing module configured to determine information on a desired orientation of the optical imaging system towards at least a part of the object of interest.

Abstract: An information processing apparatus including a specification section specifying, from among a plurality of blocks that are set by dividing pixels included in at least a partial region of a pixel region having a plurality of pixels arrayed therein and each of which includes at least one or more of the pixels, at least one or more of the blocks, and a generation section generating a unique value based on pixel values of the pixels included in the specified blocks.

Abstract: A smart toilet (100) includes an information acquisition device (110) and a control device (120). The information acquisition device (110) is configured to acquire feature information of the smart toilet (100) in a working state, the feature information at least including voiceprint information and odor information, or voiceprint information, or odor information of a human body using the smart toilet (100). The control device (120) includes an identity recognition component (121) configured to recognize, according to the feature information, the identity of the human body using the smart toilet (100). An electric appliance system including the smart toilet (100) is further included.

Abstract: This invention relates to Banking, National Security and Governance with BIOMETRIC UNIQUE COMBINATION IDENTIFICATION SYSTEM and in particular, this invention relates to Banking, National Security and Governance with BIOMETRIC UNIQUE COMBINATION IDENTIFICATION SYSTEM which will provide paperless, fraud less, ultra secure, convenient, cheap, fast, affordable banking, enhance National Security and provide good governance to all since it will completely eradicate the possibility of having more than one identity. Furthermore, this invention also relates to Banking, National Security and Governance with BIOMETRIC UNIQUE COMBINATION IDENTIFICATION SYSTEM which has the advantages of being simple in structure and convenient to use and install, improving the filling efficiency, reducing manual costs and the like.

Abstract: The technology described herein discloses systems and methods for upgrading biometric authentication system. The system can receive first biometric information in connection with an authentication request from a user. The system can authenticate the user via a first authentication system by comparing the first biometric information received in connection with the authentication request with second biometric information. The user can be automatically enrolled into a second authentication system using the first biometric information received in connection with the authentication request.

Abstract: In general, in one aspect, one or more embodiments relate to a method including receiving, in a business rules engine, input data from disparate data sources. The input data describes a merchant and an application by the merchant to use an electronic payments system for processing transactions between the merchant and customers. Featurization is performed on the input data to form a machine readable vector. By applying the machine readable vector as input to a machine learning model in a machine learning layer, a risk score is predicted. The machine learning model is trained using training data describing use of the electronic payments system by other merchants. The risk score is an estimated probability of the merchant being unable to satisfy an obligation of using the electronic payments system. A business rules engine, based on the risk score, limits use of the electronic payments system by the merchant.

Abstract: In an embodiment, a method for generating contrastive information for a classifier prediction comprises receiving image data representative of an input image, using a deep learning classifier model to predict a first classification for the input image, evaluating the input image using a plurality of classifier functions corresponding to respective high-level features to identify one or more of the high-level features absent from the input image, and identifying, from among the high-level features absent from the input image, a pertinent-negative feature that, if added to the input image, will result in the deep learning classifier model predicting a second classification for the modified input image, the second classification being different from the first classification. In an embodiment, the method includes creating a pertinent-positive image that is a modified version of the input image that has the first classification and fewer than all superpixels of the input image.

Abstract: Disclosed are a method and apparatus for identifying versions of a form. In an example, clients of a medical company fill out many forms, and many of these forms have multiple versions. The medical company operates in 10 states, and each state has a different version of a client intake form, as well as of an insurance identification form. In order to automatically extract information from a particular filled out form, it may be helpful to identify a particular form template, as well as the version of the form template, of which the filled out form is an instance. A computer system evaluates images of filled out forms, and identifies various form templates and versions of form templates based on the images.