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

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.

A system for managing an infrastructure includes extraction engine is in communication with a managed infrastructure that includes physical hardware. A signalizer engine includes one or more of an NMF engine (Non-negative matrix factorization), a k-means clustering engine (a method of vector quantization), and a topology proximity engine. The signalizer engine determines one or more common characteristics of events and produces clusters of events relating to the failure or errors in the infrastructure. The signalizer engine uses graph coordinates and optionally a subset of attributes assigned to each event to generate one or more clusters to bring together events whose characteristics are similar. One or more interactive displays provide a collaborative interface coupled to the extraction and the signalizer engine with a collaborative interface (UI) for decomposing events from the infrastructure. The events are converted into words and subsets to group the events into clusters that relate to security of the managed infrastructure. In response to grouping the events physical changes are made to at least a portion of the physical hardware. In response to production of the clusters security of the managed infrastructure is maintained.

A biometric sensor may include a scanner configured to capture a biometric data and an adjustment mechanism configured to respond to a force applied to the biometric sensor by shifting the biometric sensor from a neutral position to an adjusted position. The adjustment mechanism may be configured to respond to the removal of the force by returning the biometric sensor to the neutral position. While the biometric sensor is in the neutral position, the scanner may be capable of capturing a biometric data of a majority of users interacting with the apparatus. Accordingly, the biometric sensor may be able to operate with minimal adjustments. The biometric sensor may be part of a dispensing cabinet such that the biometric data captured by the biometric sensor may be used to control access to the dispensing cabinet. Related methods are also disclosed.

A biometric sensor may include a scanner configured to capture a biometric data and an adjustment mechanism configured to respond to a force applied to the biometric sensor by shifting the biometric sensor from a neutral position to an adjusted position. The adjustment mechanism may be configured to respond to the removal of the force by returning the biometric sensor to the neutral position. While the biometric sensor is in the neutral position, the scanner may be capable of capturing a biometric data of a majority of users interacting with the apparatus. Accordingly, the biometric sensor may be able to operate with minimal adjustments. The biometric sensor may be part of a dispensing cabinet such that the biometric data captured by the biometric sensor may be used to control access to the dispensing cabinet. Related methods are also disclosed.

A display device may include a pixel and a sensor. The pixel may include an emission element and a pixel driving circuit. The pixel driving circuit may receive a first scan signal and a second scan signal. The sensor may include a light sensing element and a sensor driving circuit. The sensor driving circuit may include a reset transistor, an amplifying transistor, and an output transistor. The reset transistor may receive a reset voltage and the first scan signal and be connected to a first sensing node. The amplifying transistor may receive a first driving voltage and be connected between the first sensing node and a second sensing node. The output transistor may receive the second scan signals and be connected between the second sensing node and a readout line.

A multi-modal emotion recognition system is disclosed. The system includes a data input unit for receiving video data and voice data of a user, a data pre-processing unit including a voice pre-processing unit for generating voice feature data from the voice data and a video pre-processing unit for generating one or more face feature data from the video data, a preliminary inference unit for generating situation determination data as to whether or not the user's situation changes according to a temporal sequence based on the video data. The system further comprises a main inference unit for generating at least one sub feature map based on the voice feature data or the face feature data, and inferring the user's emotion state based on the sub feature map and the situation determination data.

A method of temperature compensation in an optical-fingerprint detection system includes acquiring a first reading associated with one or more pixels of an array. The first reading is a baseline reading. The method further includes acquiring a second reading associated with the one or more pixels of the array. The second reading includes the baseline plus a signal. Producing a temperature compensated signal reading by subtracting the first reading from the second reading. The array is an optical-fingerprint array, and each pixel of the array is coupled to a readout circuit via a pixel switch. The method includes row-based and frame-based schemes and a blind pixel scheme. Readout circuit improvements including multiplexed analog front-end (AFE), charge magnifier with column charge offset compensation and a low-noise gate driver circuit are provided.

A cavity authentication system for verifying at least one feature of a user using at least one acoustic signal, including an orifice element, including at least a signal opening and a reflection opening, an acoustic wave generator (AWG), an acoustic wave sensor (AWS), at least one output waveguide, at least one input waveguide, a processor, a memory and a power supply, the AWG for producing at least one acoustic signal, the AWS for receiving at least one reflection of the acoustic signal, the output waveguide for transmitting the acoustic signal to the user, the input waveguide for receiving the reflection of the acoustic signal, the memory configured to store cavity authentication data representative of the feature, wherein the processor is configured to analyze the reflection and to compare the analyzed reflection with the retrievable cavity authentication data and to generate an indication whether the analyzed reflection matches the retrievable cavity authentication data above a pre-determined threshold.

Methods, systems, and computer-readable storage media for determining that a subject is a live person include capturing a set of images of a subject instructed to perform a facial expression. A region of interest for the facial expression is determined in a first image of the set, the first image representing a first facial state that includes the facial expression. A set of facial features is identified in the region of interest, the facial features being indicative of interaction between facial muscles and skin of the subject due to the subject performing the facial expression. A determination is made, based on the facial features, that the first image substantially matches a template image of the facial expression of the subject. Responsive to determining that the first image substantially matches the template image, identifying the subject as a live person.