Abstract: A receiver unit for a radio frequency (RF) tag is provided, including a first input terminal and a second input terminal each being connected to an antenna; a communication stage configured to demodulate and/or to modulate an incoming signal in the communication stage; and a power stage including a voltage converter circuit being configured to supply power to the receiver unit, and a regulation circuit being configured to limit an output voltage of the voltage converter circuit, wherein the regulation circuit includes a regulator circuit being configured to determine a first current value and a second current value, the second current value being a current value provided in addition to the first current value, and, if the second current value exceeds a predetermined threshold value, to supply a control signal to a limiter circuit configured to limit an input voltage of the voltage converter circuit.

Abstract: The invention relates to a method for retrieving a shut state and/or a location of a closable container as well as closable containers, wherein a transition between an open position and a closed position is achieved by a relative movement at least of a first container part with respect to a second container part, wherein the container has at least one RFID chip having a connected near field antenna and a far field antenna and the RFID chip having the connected near field antenna is arranged at the first or at the second container part and the far field antenna is arranged at the other one of the first and second container part, respectively, and the near field antenna, which is connected to the RFID chip, is arranged, as compared to the far field antenna, such that, in the closed position of the container, a noncontact electromagnetic coupling takes place between the near field antenna and the far field antenna.

Abstract: The present invention provides a method and system for verifying and tracking identification information. In an embodiment of the invention, a system for delivering security solutions is provided that includes at least one of the following: a radio frequency (RF) identification device, an identification mechanism (e.g., a card, sticker), and an RF reader.

Abstract: A read chamber device is disclosed for use within a radio frequency identification (RFID) scanning enclosure which provides a means of reading a plurality of cartons moving through the enclosure via a conveyor belt. The enclosure is positioned over a section of the conveyor belt, such that the plurality of cartons on the conveyor belt pass directly through the enclosure. The read chamber device is positioned centrally to the enclosure and projects a read zone via an antenna positioned in-line with the flow of the conveyor which allows the read chamber to read a large variety of inlays without changing the configuration settings of the device. The RFID scanning enclosure also utilizes dynamic power indexing (DPI) to combine parameter inputs to create a smarter reader that can anticipate changes. The reader is then manipulated in real-time to adapt to the needs of each carton and the tunnel scanning environment.

Abstract: An indicia reader is adapted for hand held operation to read information bearing indicia (IBI) at a point of transaction (POT) and is operated by: configuring the indicia reader in a store to provide at least one store specific indicia read notice; reading an IBI at a POT with the indicia reader and providing the at least one store specific indicia read notice to a customer when each IBI is read.

Abstract: Object recognition by point-of-sale camera systems is aided by first removing perspective distortion. Yet pose of the object—relative to the system—depends on actions of the operator, and is usually unknown. Multiple trial counter-distortions to remove perspective distortion can be attempted, but the number of such trials is limited by the frame rate of the camera system—which limits the available processing interval. One embodiment of the present technology examines historical image data to determine counter-distortions that statistically yield best object recognition results. Similarly, the system can analyze historical data to learn what sub-parts of captured imagery most likely enable object recognition. A set-cover strategy is desirably used. In some arrangements, the system identifies different counter-distortions, and image sub-parts, that work best with different clerk- and customer-operators of the system, and processes captured imagery accordingly.

Abstract: A barcode reading enhancement system includes an attachment for a mobile device, such as a smartphone, tablet, or a hybrid combination thereof, with a camera. The attachment may include an optics system that cooperates with the mobile device camera to facilitate the capture of decodable barcodes. The optics system may increase the camera's depth of field, increase ratio of focal length to entrance pupil diameter, and/or decrease the angular size of the field of view of the camera. The system includes a mobile barcode reading application for setting a camera lens of the camera to one of a plurality of predetermined focus positions or enabling autofocus of the camera within a limited range of focus positions less than a full range of focus positions of the camera. The application may cause the camera to capture an image of a barcode and decode the image of the barcode.

Abstract: A barcode reader and an accessory are disclosed. A barcode reader may include an interface for communication with a host computer via a wireless or wired link and an authentication system to establish mutual authentication with the host computer. The barcode reader may include a connector for connecting the barcode reader to the external power source or the host computer. The connector may be a combined power and data connector. An accessory may provide operating power to a barcode reader and provide decoded data of an image of a barcode received from the barcode reader to a host computer. The accessory may include connectors and an interface system. The interface system may include a processor configured to send the decoded data to the host computer, an authentication system, and a power interface. The accessory may include RF circuits for communicating with the host computer via a wireless link.

Abstract: The invention discloses a multimedia service pushing method and a multimedia service pushing system based on two-dimensional codes. The multimedia service pushing method comprises the steps that: a multimedia terminal receives multimedia content and multimedia service information sent by a multimedia server, generates a two-dimensional code image according to the multimedia service information, and overlaying the two-dimensional code image on the multimedia content for display; when a scanning terminal detects the two-dimensional code image on the multimedia terminal, the scanning terminal parses the two-dimensional code image to obtain a service command, sends a service request to a service server according to the service command, and obtains service content corresponding to the service command; and the scanning terminal or the multimedia terminal receives the service content and displays the service content.

Abstract: A system for identifying and authenticating an object includes an indicium having randomly applied fluorophores that emit light when excited. The fluorophores produce a unique, random pattern that uniquely identifies any object to which the indicium is attached. The indicium may also include an identification code. An imaging unit with a flash excites and captures the photo-luminescence of the indicium in the form of a random image. The identification and authentication of the object is done by sending the image captured via a mobile phone or other device such as a laptop or notepad to a server of an authentication unit via the Internet or other communication media to correlate with a reference image of the indicium captured at the time of manufacture. This assures the authenticity of the product with a high degree of confidence.

Abstract: Cloud-based authentication is provided for additional user stations of a user once a trusted user station has been established. Responsive to a match in a common QR-code received from the trusted user station and a second user station, one or more access points associated with the user is identified. The second station is associated with the user and with the one or more access points including sending credentials for authorizing the second station with the one or more access points. When a subsequent request for network access from the second station at the one or more access points, Wi-Fi services are automatically provided from the one of more access points to the second user station, without requiring the second user station to enter authentication credentials.

Abstract: Systems and methods for presenting an augmented reality within a custom graphic are provided. In example embodiments, a server receives a scanned image from a client device, the scanned image including a custom graphic and an optical barcode. The server identifies an augmented reality and a user interface item based on the optical barcode. The server transmits the augmented reality to the client device for display, at the client device, within a custom graphic of the scanned image. The server receives an indication that the scanned image was selected at the client device. The server transmits, to the client device, the user interface item for display at the client device.

Abstract: An apparatus for implementing touch control and fingerprint identification includes: a fingerprint identification sensor including a plurality of sub-sensors and configured to transmit a signal generated by detection of a plurality of sub-sensors to a fingerprint identification circuit when a combination switch is open circuited, and to combine the signal generated by the detection of the plurality of sub-sensors into a touch signal and transmit the touch signal to a touch control circuit when the combination switch is closed. The fingerprint identification circuit is configured to process the signal generated by the detection of the plurality of sub-sensors; and the touch control circuit is configured to determine presence of a touch operation according to the combined touch signal. Accordingly, the functions of fingerprint identification and touch control can be implemented by sharing a fingerprint identification sensor, so that integration level of an electronic device is improved.

Abstract: A method for fingerprint recognition may include: acquiring a current charging state of the mobile terminal; updating setting of a fingerprint recognition threshold value according to the current charging state of the mobile terminal; acquiring a fingerprint image, and extracting feature information of the fingerprint image; and conducting a fingerprint recognition according to the extracted feature information and the fingerprint recognition threshold value. In embodiments of the present disclosure, the current charging state of the mobile terminal is acquired and setting of the fingerprint recognition threshold value is thus updated according to the current charging state of the mobile terminal, such that the mobile terminal can acquire the same fingerprint recognition rate regardless of different charging states.

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: A fingerprint information detection circuit comprises an amplification unit, a source follower unit, a reset unit, and a feedback unit. The amplification unit is coupled to the source follower unit. The reset unit is coupled to both the feedback unit and the amplification unit. The feedback unit and the amplification unit are coupled. The reset unit includes a first transistor and a reset transistor, wherein source and drain electrodes of the first transistor are coupled, wherein one of source and drain electrodes of the reset transistor is coupled to the source and drain electrodes of the first transistor.

Abstract: A method of determining a representation of a physical property of a finger using a finger sensing system comprising a two-dimensional measuring arrangement including a plurality of measuring elements, each defining a measuring element position in the measuring arrangement, and each comprising a finger electrode spaced apart from the finger by a dielectric structure.

Abstract: A fingerprint imaging system and a method for forming the same. The system includes: a backlight system; a sensor array on the backlight system, wherein the sensor array comprises a plurality of photodiodes and a plurality of light transmission regions between adjacent photodiodes; and an anti-light-scattering layer formed on the sensor array, wherein the anti-light-scattering layer comprises a plurality of first portions and a plurality of second portions disposed between adjacent first portions, wherein the plurality of first portions cover at least the plurality of photodiodes respectively, and refractivity of the plurality of first portions is greater than refractivity of the plurality of second portions.

Abstract: A thin optical fingerprint sensor, including: a shell; an optical prism arranged in the shell with a collection surface arranged on the top of the optical prism, a basal plane corresponding to the collection surface and situated on the bottom of the optical prism, a mirror surface arranged on one end of the optical prism, and an output surface arranged on another end of the optical prism; a flexible circuit board, the shell being arranged on the flexible circuit board; a light source arranged on the flexible circuit board, the light source being corresponding to the basal plane of the optical prism; and an image sensing unit arranged on the flexible circuit board in correspondence to the output surface of the optical prism.

Abstract: A biometric identification method comprising the steps of comparing a candidate print with a reference print and validating identification as a function of a number of characteristics that are common in the two prints and of a predetermined validation threshold, the method being characterized in that it comprises the steps of altering the biometric characteristics of one of the two prints prior to comparison and of taking the alteration into account during validation.

Abstract: Provided is a method for authenticating a user in an electronic device. In illustrative embodiments, a fingerprint input from the user is be detected by receiving detection signals for respective sample points across an area of the fingerprint input. A determination value may be computed, which represents a degree of distribution of the detection signals according to signal strengths. It is then determined whether the determination value falls outside a preset reference range. If the determination value falls outside the preset reference range, the method determines that the fingerprint input from the user is invalid.

Abstract: Eyeglasses include a left lens, a right lens and an IMU sensor and a GPS unit. A camera and a memory are coupled to the eyeglasses. A processor is connected to the IMU, the GPS unit and the at least one camera and is adapted to recognize objects by analyzing image data based on the stored object data and inertial measurement data or location data. The processor is also adapted to determine a desirable event based on the object, previously determined user data, and a time. The processor is also adapted to determine a destination based on the determined desirable event and determine a navigation path for navigating the eyeglasses to the destination based on the determined destination, image data, and inertial measurement data or location data. The processor is also adapted to determine output data based on the determined navigation path. A speaker is also provided.

Abstract: A face authentication system of an example of the present invention includes: a first face area detection unit configured to detect a first face image from a first captured image captured by a camera; a first deformation unit configured to deform the first face image non-linearly using a template face image; a face image recording unit configured to record the deformed first face image as a registered face image; a second face area detection unit configured to detect a second face image from a second captured image captured by a camera; a second deformation unit configured to deform the second face image non-linearly using the template face image; and a face image matching unit configured to compare the deformed second face image with the registered face image.

Abstract: A system, apparatus, and method for confirming the identity of a person for access using an image of that person. The system includes a camera, a data storage device, a subject identification device, and a processor to compare a plurality of current images of the subject to a plurality of stored images of that subject and confirm that the subject live and an approved subject.

Abstract: The present invention is to provide a system, a method, and a program for identifying a person depicted in a portrait. The system for identifying a person depicted in a portrait 1 receives input of portrait data of the portrait, stores different individual data depending on a plurality of persons, extracts a feature point of the received portrait by image analysis, checks the extracted feature point against the individual data, identifies a person depicted in the portrait from the check result, and displays the identification result together with a probability corresponding to an identical level.

Abstract: In multilevel clustering for a face recognition process, the first stage clustering is performed on each computing node, using the first x vector coefficients. From the resulting k clusters created in the first stage, a limited number of clusters are selected on which the second stage clustering is performed, using the next y vector coefficients. The search for a matching image is then limited to these selected clusters. Computational costs are reduced at the first stage clustering by using just the first x vector coefficients. Computational costs for the second stage clustering are also reduced by performing the second stage only with the limited number of clusters on a limited number of computing nodes. In this manner, the overall computational costs in the face recognition process is significantly reduced while maintaining a desired level of accuracy.

Abstract: The invention concerns a gesture recognition method for gesture-based interaction at an apparatus. The method comprises receiving one or more images of an object; creating feature images for the received one or more images; determining binary values for pixels in corresponding locations of said feature images and concatenating the binary values to form a binary string for said pixel; repeating the previous step for each corresponding pixel of said feature image to form a feature map and forming a histogram representation of the feature map. The invention also concerns an apparatus and a computer program.

Abstract: Systems and methods for improving the health and wellbeing of subjects in an industrial setting are disclosed. The systems may include a camera arranged so as to observe one or more features of a subject, and a processor, coupled to the camera, the processor configured to analyze one or more images obtained therefrom, to extract one or more features from the image(s) of the subject, and to analyze one or more of the features, or sub features nested therein to predict an outcome of a state of the subject. In particular the system may be configured to generate a diagnostic signal (e.g. an outcome, fever, mastitis, virus, bacterial infection, rut, etc.) based upon the analysis.

Abstract: Embodiments include methods for predicting one or more characteristics of an individual, such as a human or non-human animal, by applying computational methods to image(s) of the individual to generate one or more metrics indicative of the characteristics. Embodiments determine predictors of characteristics by creating a sample library of individuals, determining facial measurements for each individual, determining relationships between facial measurements and additional library data, and selecting predictors from these relationships. Embodiments include methods for predicting characteristics of individuals not in the library. Embodiments include methods for predicting characteristics of groups using predicted characteristics of individuals. Embodiments determine suitability of a pair of individuals (from the same or different species) for a particular purpose, task, or relationship based on characteristics of individuals.

Abstract: Described herein are a system and method for identifying extremities of an object within a scene. The method comprises operating an image processing system to receive image data from a sensor. The image data represents an image of the scene with the object. The image data comprises a two-dimensional array of pixels and each pixel contains a depth value indicating distance from the sensor. The image processing system slices the image into slices. Each respective slice comprises those pixels with depth values that lie within a respective range of distances defined relative to a reference. For each of the slices, the method identifies one or more connected regions of pixels that are neighbors in the two-dimensional array of pixels. The method builds, based on the connected region of pixels that have been identified for the slices and depth information inherent to the respective slices, a graph consisting of interconnected nodes.

Abstract: A method, a system, and a non-transitory computer readable medium for recognizing an object. The method includes emitting an array of infrared rays from an infrared emitter towards a projection region, the projection region including a first object; generating a reference infrared image by recording an intensity of ray reflection from the projection region without the first object; generating a target infrared image by recording the intensity of ray reflection from the projection region with the first object; comparing the target infrared image to the reference infrared image to generate a predetermined intensity threshold; and extracting the first object from the target infrared image, if the intensity of ray reflection of the target infrared image of the first object exceeds the predetermined intensity threshold.

Abstract: A three dimensional map of a designated area that includes location data and relative height data of vantage points, points of interest, and objects, within the designated area, is received. A line-of-sight view from the vantage points to the points of interest is determined by calculating an angle, a distance, and a direction between a vantage point and a point of interest based, at least in part, on the location data and relative height data associated with the three dimensional map of the designated area. Obstructions of the line-of-sight view between the vantage points and the points of interest are determined, based on the line-of-sight view, the location data, and the relative height data, and responsive to determining that the line-of-sight view is free of obstruction, identifying each point of interest viewable from each vantage points, within the designated area.

Abstract: Systems and methods for enhancing and comparing documents. An example method comprises: comparing document images to identify a first document image of a reference document that corresponds with a second document image of a related document; transforming the second document image based on a layout of the first document image; and performing character recognition of the second document image.

Abstract: Some embodiments include apparatuses and methods having a receiver unit included in a die and a measurement unit included in the die. The receiver unit includes a sampler to sample a first signal based on timing of a first clock signal to generate a second signal. The measurement unit is arranged to sample the first signal based on timing of a second clock signal to provide information for generation of a graph presenting an eye scan of the first signal. The second clock signal has a frequency asynchronous with a frequency of the first clock signal.

Abstract: The subject disclosure is directed towards active depth sensing based upon moving a projector or projector component to project a moving light pattern into a scene. Via the moving light pattern captured over a set of frames, e.g., by a stereo camera system, and estimating light intensity at sub-pixel locations in each stereo frame, higher resolution depth information at a sub-pixel level may be computed than is captured by the native camera resolution.

Abstract: Methods and apparatuses are provided for capturing an image in a portable terminal. An image is received at the portable terminal. An eye region is detected in the image. An eye center of the eye region is determined. It is determined whether a reflection region is detected in the eye region. When the reflection region is detected, a shape of the reflection region is determined, and guide information for preventing the reflection region is output based on the shape of the reflection region.

Abstract: Described are methods, systems and computer-readable media storing executable instructions for computing, on a per material and per hyperspectrally imaged scene basis, an optimal set of spectrally filtering pass bands for detecting target materials in the scenes, and cueing multispectral imaging of the scenes with the set of pass bands.

Abstract: A system for automated conversion of two-dimensional hydrology vector models into valid three-dimensional hydrology vector models, comprising a vector extraction engine that retrieves vectors from, and sends vectors to, a vector storage, a DSM server that retrieves a DSM from a DSM storage and computes a DSM from stereo disparity measurements of a stereo pair retrieved from a raster storage, and a rendering engine that provides visual representations of images for review by a human user, and a method for automated hydrology vector model development utilizing the system of the invention.

Abstract: Augmented reality (AR) systems, methods, and instrumentalities are disclosed. A user's gaze point may be estimated and may be used to search for and present information, e.g., information relating to areas on which the user is focusing. The user's gaze point may be used to facilitate or enable modes of interactivity and/or user interfaces that may be controlled by the direction of view of the user. Biometric techniques may be used to estimate an emotional state of the user. This estimated emotional state may be used to be the information that is presented to the user.

Abstract: In a method for determining a distance of an object captured by a camera coupled to a controller, a controller of a computing device receives an image of the object and a label associated with the object. The controller identifies a label image of the label in the image and determines a label dimension of the label, the label dimension includes a real world size of the label. The controller determines a label image dimension of the label image, the label image dimension comprising a size of the label image, and determines a set of optical characteristics of the camera. The controller calculates a label distance using the set of optical characteristics of the camera, the label dimension, and the label image dimension. The controller announces the label distance using at least one output component coupled to the controller.

Abstract: Systems, methods, and computer program products to perform an operation comprising receiving, from a video monitoring system, a count of people detected at a first location, wherein the video monitoring system comprises a camera configured to capture video of the first location, receiving a count of wireless devices detected in a second location, and applying a first correction factor to the count of wireless devices detected at the second location to determine a number of people present in the second location, wherein the first correction factor is based on the count of people detected by the video monitoring system and a count of wireless devices in the first location.

Abstract: A multimodal sensor network is designed to extract a plurality of fundamental properties associated with subject sensing. In one aspect, such network can combine cameras distributed in an environment with inertial sensors available in subjects' wearable devices. The network can permit anonymous detection, counting, and localization of one or more subjects utilizing the cameras. In one aspect, by fusing such information with positional data from the inertial sensors contained or coupled to wearable devices associated with the one or more subjects, the network can track and can identify each subject carrying a wearable device functionally coupled to inertial sensor(s). In one aspect, the problem of subject sensing can be divided into two parts: (1) a detection, counting, and localization (DCL) layer and (2) a tracking and identification (TI) layer, wherein such layers can be implemented via simulations and a real sensor network deployment.

Abstract: An image auditing method and system may be provided. Video surveillance equipment may be operated in coordination with at least one digital computer across network architecture. The video surveillance equipment may provide a computer with footage of a transactions occurring in a target area. The footage may be filtered into at least one image of a transaction. The image may be categorized based on at least one transaction characteristic. The transaction data may be compared to transaction records from a point of sale and analyzed for any discrepancies.

Abstract: An on-vehicle image processing apparatus includes: a photographing device configured to photograph a road surface around a vehicle; an image creation section configured to create an overhead view image showing a periphery of the vehicle when looked down from above the vehicle, based on the obtained photographed image; an extraction section configured to extract a road surface sign around the vehicle by using the created overhead view image; a detection section configured to detect one or more noises among at least a road surface noise, an obstruction noise, and an attached substance noise that are to be observed when the extraction section extracts the road surface sign; and a parking frame recognition section configured to recognize a parking frame based on one of a partial photographing region in the photographed image and a partial overhead view region in the overhead view image, depending on the detected noise.

Abstract: A traffic light detection device includes: an image capture unit capturing an image of surroundings; a traffic light location estimation unit estimating a location of a traffic light around the vehicle and setting a traffic light search area in which the traffic light is estimated to be present; a traffic light detection unit detecting the traffic light by searching the traffic light search area on the image; and an obstruction estimation unit. When the obstruction estimation unit estimates that a continuous obstruction state where a view of the traffic light is continuously obstructed occurs in the traffic light search area, the traffic light location estimation unit selects the traffic light search area based on the continuous obstruction state.

Abstract: An information providing method of an electronic device is provided. The information providing method includes determining a selected area based on a user input, determining an extraction method based on types of one or more objects included in the selected area, extracting information from the selected area according to the determined extraction method, and performing a specific function based on the information.

Abstract: A method of machine vision includes identifying contours of fruits in a first image and a second image and performing two-way matching of contours to identify pairs of matched contours, each pair comprising a respective first contour in the first image that matches a respective second contour in the second image. For each pair of matched contours, a respective affine transformation that transforms points in the respective second contour to points in the respective first contour is identified. The second image is mapped to the first image using the affine transformations to form a composite image and the number of fruits in the composite image is counted.

Abstract: A method by which a tracking apparatus tracks a target object includes: acquiring a first tree structure indicating a tracking processing order of frames, each frame including a tracking area in which the target object is located; acquiring a plurality of frame groups, each frame group consisting of two frames, and acquiring distance evaluation values of the respective frame groups; acquiring a second tree structure based on the first tree structure and the distance evaluation values; and tracking the target object based on the acquired second tree structure, wherein the distance evaluation value is determined based on at least one of locations of tracking areas included in two frames belonging to the frame group and pixel values included in the tracking areas.

Abstract: The present disclosure relates to a system and a method for detection of touching characters in a media, characterized by segmentation of adjoining character spaces. In the very first step, an aspect ratio is calculated for each connected component. A candidate touching position of each character is determined by calculating a threshold aspect ratio for each character. Further, a candidate cut column is determined based on a relation between column pixel densities and corresponding length thereof the column in order to segment the touching characters at the candidate cut column.

Abstract: In an approach to analyzing a path on a graph, a computer receives a graph comprising a plurality of vertices and edges, each edge linking two vertices. The computer, for each one of said plurality of vertices, analyzes edges linked to said one of plurality of vertices to determine a number of outbound links from said one of plurality of vertices, orders said edges, and assigns a value to each ordered edge. The computer, for the graph, receives a path comprising a plurality of edges linking two of said plurality of vertices through at least one other of said plurality of vertices, encodes said path, the encoding using said number of outbound links and said assigned values of each of said one or more edges linking said two of said plurality of vertices, compresses the encoded path, and analyzes said path on said graph using said compressed, encoded path.