Abstract: An apparatus and method and electronic device, the apparatus comprising: a memory element configured to store information; a switching element coupled to the memory element; wherein the switching element is configured to be switched from a first state to a second state in response to an input signal provided by a capacitive touch screen and wherein when the switching element is in the second state the information can be read from the memory element by the capacitive touch screen.

Abstract: A UHF radiofrequency identification (RFID) system comprising a UHF RFID reader and at least one UHF RFID antenna for enabling communication of the UHF RFID reader with UHF RFID tags affixed on articles within a cabinet having electrically conductive walls and at least one door, the UHF RFID antennas being positioned within the cabinet and the UHF RFID system further comprises at least one conductive surface (e.g., a brewer, brasseur, or cross-connector) enclosed in a compartment positioned within the cabinet and comprising a conductive surface set in movement by a motor.

Abstract: A tracking system that tracks persons and/or objects of interest without the need for triangulation techniques is disclosed. The tracking system utilizes very low power active radio frequency tags with limited effective broadcast range that operate only in the transmit mode with no need to establish two-way communication with any part of the system. The person or object of interest is provided with a radio frequency tag incorporating a unique identifier. Gateways connected to a common network interface are positioned relative to specific areas within the facility to be monitored. A computer connected to the same network as the gateways analyzes data relating to the strength of the of the radio frequency signals received by the radio frequency receivers from the radio frequency tags to determine if, and when, persons and/or objects of interest are present within particular subareas within the facility.

Abstract: An example radio frequency identification card monitor is disclosed herein. An example radio frequency identification card monitor includes an example detector to identify radio frequency identification cards, a card tracker to track the radio frequency identification card with a proximity of the apparatus, and an interface to provide alerts when the radio frequency identification cards are not within the proximity.

Abstract: Methods and systems for smart handling of warehouse items. An embodiment takes the form of a wearable accessory that is configured to (a) identify an object, (b) detect an attachment-triggering event, (c) responsive to detecting the attachment-triggering event, attach to the object, (d) determine at least one handling constraint associated with the object, where the at least one handling constraint includes an acceptable pressure range, (e) measure a pressure exerted on the object via the accessory, (f) provide an indication, via a user interface, based on the measured pressure and the acceptable pressure range; and (g) detect a release-triggering event, and responsively release the object.

Abstract: A method for teaching positioning of a bar code scanner is disclosed. The method includes moving the bar code scanner relative to a first bar code so as to sweep a light beam emitted from the bar code scanner across the first bar code, detecting an orientation of the bar code scanner relative to the first bar code and positioning the bar code scanner based on the orientation. Further, an apparatus for processing a sample or reagent is disclosed.

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: A method for glare reduction may be implemented by a graphical code reader. The graphical code reader includes an optic system, a plurality of light sources, and a control system. The control system is configured to determine that glare is present in an image captured by the optic system by identifying reflection from at least one of the plurality of light sources. The control system may take a corrective action to reduce the glare in subsequent images. The control system may be configured to take a first corrective action if a diffraction pattern is present at a periphery of the glare, and take a second corrective action if a diffraction pattern is not present at the periphery of the glare.

Abstract: A method, system for encoding or decoding information in physical properties of an object. A tangible product comprises a three dimensional tangible object having modified physical properties; and wherein the modified physical properties are a modification of physical properties, wherein the modification encodes information. A method comprising: obtaining a representation of a three dimensional object having physical properties; obtaining information to encode; determining modified physical properties by modifying the physical properties to encode within the modified physical properties the information; and producing a tangible product, wherein the tangible product is the three dimensional object having the modified physical properties.

Abstract: A fingerprint classification system and method for extracting the dominant singularity from a fingerprint image are described. The fingerprint classification system and method receive as an input a digital fingerprint image and the image is preprocessed to generate an enhanced and more accurate image. Feature pattern calculations are performed on the updated image to generate an Orientation Feature Vector. The Orientation Feature Vector is processed using a Regular Expression Machine classifier prediction model to generate a class label for the digital fingerprint image that was input.

Abstract: It will be understood by those skilled in the art that there is disclosed in the present application a biometric sensor that may comprise a plurality of a first type of signal traces formed on a first surface of a first layer of a multi-layer laminate package; at least one trace of a second type, formed on a second surface of the first layer or on a first surface of a second layer of the multi-layer laminate package; and connection vias in at least the first layer electrically connecting the signal traces of the first type or the signal traces of the second type to respective circuitry of the respective first or second type contained in an integrated circuit physically and electrically connected to one of the first layer, the second layer or a third layer of the multi-layer laminate package.

Abstract: Devices and optical sensor modules are provided for provide on-screen optical sensing of fingerprints by using a under-screen optical sensor module that captures and detects returned light that is emitted by the display screen for displaying images and that is reflected back by the top surface of the screen assembly.

Abstract: The present disclosure provides an organic light-emitting diode (OLED) display substrate. The OLED display substrate includes a plurality of pixel regions for displaying images; and a plurality of image recognition regions for recognizing a pattern of a light-reflecting surface structure, each image recognition region including a photoresistor.

Abstract: An optical sensor system having a compound aperture and collimator structure for collimating light includes: an input surface providing a sensing region for a biometric object; an aperture layer, disposed beneath the input surface; a plurality of light-blocking structures, disposed beneath the aperture layer, forming a plurality of collimators; and an image sensor, disposed beneath the plurality of light-blocking structures, wherein the image sensor is configured to detect light from the sensing region that has passed through the aperture layer and the plurality of collimators.

Abstract: A biometric information process device includes: an image device configured to capture an image of an object; a memory; and a processor coupled to the memory and the processor configured to execute a process, the process comprising: detecting a touch point of the object with respect to a touch panel; extracting a biometric feature from the image of the object that is acquired by the image device; and correcting biometric information acquired from the image of the object based on a movement amount of the object on the touch panel and a movement amount of the biometric feature in the image of the object when the touch point detected in the detecting moves.

Abstract: A method for initiating fingerprint capture in an electronic device is described. The device includes a touch screen with a sensing region, a touch controller, a fingerprint controller, and a host. The device is placed in a low power doze mode where the fingerprint controller is in a low power state and the device scans for an object proximate to the sensing region. When an object is proximate to the sensing region, the device executes a validation mode to determine whether the object is a fingerprint. When a fingerprint is detected, the device sends a wake up signal to the fingerprint controller and places the fingerprint controller in a high power mode. One or more fingerprint images are then captured.

Abstract: A touchscreen, now incorporated in most smartphones, tablets, laptops, and similar devices, presents an effective and transparent method to incorporate continuous active user verification schemes. The touchscreen element grid structure can be used to capture information, such as a set of one-dimensional time-varying signals produced as the user's finger moves past the grid intersections points. This information may be used to verify the user, or that a valid user currently has possession of the mobile device, even while the user is not consciously engaged in an active verification process. Further functions, such as habitual gesture recognition, can also be performed using the same grid outputs.

Abstract: An optical sensor system includes: an input surface providing a sensing region for a biometric object; a plurality of display elements, disposed beneath the input surface, configured to emit light to provide a display; an aperture layer, disposed beneath the plurality of display elements; a collimator layer, disposed beneath the aperture layer; and a plurality of light sensing elements, disposed beneath the collimator layer, wherein the plurality of light sensing elements are configured to detect light from the sensing region that has passed through the aperture layer and the collimator layer.

Abstract: The present invention generally relates to a method for analyzing biometric measurements of a user, and specifically to determination of an alignment level between features of different biometric measurements acquired using a biometric sensor. The invention also relates to a corresponding fingerprint sensing system and to a computer program product.

Abstract: A fingerprint template input method, device, and medium are provided. The fingerprint template input method includes: an ith fingerprint image captured by a fingerprint identification sensor are acquired, i being a positive integer; a candidate fingerprint template is obtained according to all of the acquired i fingerprint images; it is detected whether the candidate fingerprint template meets a preset condition; and if the candidate fingerprint template meets the preset condition, the candidate fingerprint template is input as a fingerprint template of the user's fingerprint.

Abstract: The present disclosure relates to a method and device for fingerprint recognition. The method includes: acquiring one or more recognition records indicating one or more fingerprint templates, among at least two pre-stored fingerprint templates, that have matched one or more input fingerprints during previous fingerprint recognition processes; re-ranking the at least two pre-stored fingerprint templates according to the one or more recognition records; and comparing, when receiving a new input fingerprint, the new input fingerprint with the at least two pre-stored fingerprint templates in an order according to rankings of the at least two pre-stored fingerprint templates that have been re-ranked until one of the at least two fingerprint templates matches the new input fingerprint or until all of the at least two fingerprint templates have been compared with the new input fingerprint.

Abstract: A system and method for biometric enrollment and verification compares a test biometric image (e.g., of a fingerprint) with each of a plurality of reference biometric images of one or more enrolled users. Verification of a user as an enrolled user is based on the cumulative amount of overlap between the test image and the reference images. The reference images are defined during an enrollment process by comparing a plurality of sample images, identifying overlapping data in each of the images, computing one or more quality measures, and storing at least a portion of the sample images. The enrollment process is deemed complete when each quality measures meets or exceeds an associated threshold.

Abstract: The present disclosure provides an output conversion circuit and a fingerprint identification system. The output conversion circuit includes: a comparator, a counter, and a reference signal generator, where the comparator includes: a first input end, configured to receive a first output signal; a second input end; and an output end, configured to generate a comparison output signal; the counter is connected to the output end of the comparator, and configured to generate a second output signal; and the reference signal generator is connected to the second input end, and configured to generate a reference signal, where the reference signal generator includes a random digit generator configured to generate a random digit, and the reference signal is associated with the random digit; where the comparator generates the comparison output signal according to the first output signal and the reference signal.

Abstract: Imaging mass spectrometry (IMS) has become a prime tool for studying the distribution of biomolecules in tissue. Although IMS data sets can become very large, computational methods have made it practically feasible to search these experiments for relevant findings. However, these methods lack access to an important source of information that many human interpretations rely upon: anatomical insight. In this work, this need is addressed by (1) integrating a curated anatomical data source with an empirically acquired IMS data source, establishing an algorithm-accessible link between them; and (2) demonstrating the potential of such an IMS-anatomical atlas link by applying it toward automated anatomical interpretation of ion distributions in tissue.

Abstract: In one embodiment, a computing device determines a Completely Automated Public Turing Test to Tell Computers and Humans Apart (CAPTCHA). The CAPTCHA includes a first static image that has image sections that are arranged in a first order. Each of the image sections corresponds to a unique identifier. The CAPTCHA further includes a second static image that includes each of the image sections of the first static image that are arranged in a second order. The computing device generates web-browser-executable code for converting the second static image to the first static image based on the first static image, the first order, and the unique identifiers. The computing device sends the second static image and the web-browser-executable code to a client device.

Abstract: Facial recognition algorithms may identify the faces of one or more people in a digital image. Multiple types of communication may be available for the different people in the digital image. A user interface may be presented indicating recognized faces along with the available forms of communication for the corresponding person. An indication of the total number of people available to be communicated with using each form of communication may be presented. The user may have the option to choose one or more forms of communication, causing the digital image to be sent to the recipients using the selected forms of communication. An individual may have provided information for facial recognition of the individual to a service. Based on the information, the service may recognize that the individual is in an uploaded picture and send the digital image to the user account of the individual.

Abstract: A method of monitoring the amount of time spent in a specified area by an individual comprises employing a first camera to automatically create one or more entrance images, each entrance image containing a face of an entering individual that passes a first location, and storing each entrance image in a database along with a corresponding entrance time that the entering individual passed the entrance location. An exit image is compared to the entrance images in the database to identify a matching entrance image containing the same face as the exit image. A stay time is then determined for the exiting individual by determining the difference between the entrance time corresponding to the matching entrance image and the exit time.

Abstract: A multimodal sensing system includes various devices that work together to automatically classify an action. A video camera captures a sequence of digital images. At least one other sensor device captures other sensed data (e.g., motion data). The system will extract video features from the digital images so that each extracted image feature is associated with a time period. It will extract other features from the other sensed data so that each extracted other feature is associated with a time period. The system will fuse a group of the extracted video features and a group of the extracted other features to create a fused feature representation for a time period. It will then analyze the fused feature representation to identify a class, access a data store of classes and actions to identify an action that is associated with the class, and save the identified action to a memory device.

Abstract: Motion capture system with a motion capture element that uses two or more sensors to measure a single physical quantity, for example to obtain both wide measurement range and high measurement precision. For example, a system may combine a low-range, high precision accelerometer having a range of ?24 g to +24 g with a high-range accelerometer having a range of ?400 g to +400 g. Data from the multiple sensors is transmitted to a computer that combines the individual sensor estimates into a single estimate for the physical quantity. Various methods may be used to combine individual estimates into a combined estimate, including for example weighting individual estimates by the inverse of the measurement variance of each sensor. Data may be extrapolated beyond the measurement range of a low-range sensor, using polynomial curves for example, and combined with data from a high-range sensor to form a combined estimate.

Abstract: Systems and methods for sign language recognition are described to include circuitry to detect and track at least one hand and at least one finger of the at least one hand from at least two different locations in a room, generate a 3-dimensional (3D) interaction space based on the at least two different locations, acquire 3D data related to the at least one detected and tracked hand and the at least one detected and tracked finger, extract 3D features associated with the at least one detected and tracked hand and the at least one detected and tracked finger, analyze a relevance metric related to the extracted 3D features, classify at least one pattern from each of the at least two different locations based on a fusion of data outputs by the circuitry, and generate a recognized sign language letter based on the fusion of the data outputs.

Abstract: Aspects of the technology described herein detect visible abnormalities within a webpage or other document. The technology improves computing accuracy by identifying data and/or programing errors that cause the abnormalities. The abnormalities are detected through image analysis of portions of a document. Initially, a portion of a webpage associated with a particular feature is identified and then converted to a digital image. The digital image can capture the website as it would appear to a user viewing the website, for example, in a web browser application. The image is then analyzed against an established feature-pattern for the feature to determine whether the image falls outside of a normal range. When the image of a portion of the webpage falls outside of the normal range, a notification can be communicated to a person associated with the webpage, such as a system administrator.

Abstract: The present disclosure is directed to a method for optically recognizing a table and converting that recognized table to a digitized format. In particular, the present disclosure relates to a method of optically recognizing and identifying a table generally, individual cells within the table, the data embedded within each cell, as well as the original table format, including shading, cell borders, colors, and effects. Accordingly, such digitization of an optically recognized table, in whole or in part, as printed on a document or other media allows users to easily and quickly capture information as originally arranged without having to manually re-create a table and enter data into the re-created table.

Abstract: A method for image processing by: obtaining an original image including a bulleted list; determining a list bounding box enclosing the bulleted list; determining line bounding boxes nested within the list bounding box enclosing lines of the bulleted list; identifying bullets based on the line bounding boxes; identifying indentations based on the bullets; and generating a bulleted list object for the bulleted list in the original image based on the indentations.

Abstract: The present invention relates to a method for assisting a user in determining a medical condition in a subject from one or more medical images by presenting the user with a list of questions, LOQ, about the subject that are to be answered with an affirmative indication (Y), a negative indication (N) or an unknown indication (X) by input by the user. In response to receiving an answer to one question, the method presents the user with a ranked list of conditions, LOC, and also with an updated LOQ wherein at least the answered question has been removed i.e. the LOQ iteratively collapses or reduces in length. An earlier step of selecting a foundation observation, FO, about the subject reduces the initial LOQ and the possible conditions.

Abstract: The present disclosure is directed towards a compact, mobile apparatus for iris image acquisition, adapted to address effects of ocular dominance in the subject and to guide positioning of the subject's iris for the image acquisition. The apparatus may include a sensor for acquiring an iris image from a subject. A compact mirror may be oriented relative to a dominant eye of the subject, and sized to present an image of a single iris to the subject when the apparatus is positioned at a suitable distance for image acquisition. The mirror may assist the subject in positioning the iris for iris image acquisition. The mirror may be positioned between the sensor and the iris during iris image acquisition, and transmit a portion of light reflected off the iris to the sensor.

Abstract: A method of determining the identity of a subject while the subject is walking or being transported in an essentially straight direction is disclosed, the two dimensional profile of the subject walking or being transported along forming a three dimensional swept volume, without requiring the subject to change direction to avoid any part of the system, comprising acquiring data related to one or more biometrics of the subject with the camera(s), processing the acquired biometrics data, and determining if the acquired biometric data match corresponding biometric data stored in the system, positioning camera(s) and strobed or scanned infrared illuminator(s) above, next to, or below the swept volume. A system for carrying out the method is also disclosed.

Abstract: A mechanism is provided for indicating an area of an object that is considered dangerous to a user via a head mounted display (HMD) system. The object being used by the user and one or more areas of the object that are considered dangerous are identified. Responsive to identifying one or more areas of the object that are considered dangerous, an overlay for each of the one or more areas of the object that are considered dangerous is generated. The overlay for each one or more areas of the object that are considered dangerous is displayed via a display layer of the HMD system so that the one or more areas of the object that are considered dangerous are identified as an overlay to the object that is being seen by the user through the HMD system.

Abstract: Robust low-level image features have been proven to be effective representations for a variety of visual recognition tasks such as object recognition and scene classification; but pixels, or even local image patches, carry little semantic meanings. For high-level visual tasks, such low-level image representations are potentially not enough. The present invention provides a high-level image representation where an image is represented as a scale-invariant response map of a large number of pre-trained generic object detectors, blind to the testing dataset or visual task. Leveraging on this representation, superior performances on high-level visual recognition tasks are achieved with relatively classifiers such as logistic regression and linear SVM classifiers.

Abstract: Aspects of the present invention relate to providing see-through computer display optics.

Abstract: A wearable apparatus is provided for capturing and processing images from an environment of a user. In one implementation, a system for facilitating collaboration between individuals includes a transceiver and at least one processing device. The at least one processing device is programmed to obtain and analyze one or more images captured by an image sensor included in a wearable apparatus. The at least one processing device is further programmed to detect, by the analysis, a visual trigger in an environment of a wearer of the wearable apparatus. The visual trigger may be associated with a collaborative action to be taken. The at least one processing device may be further programmed to use the transceiver to transmit an indicator relating to the visual trigger associated with the collaborative action to be taken.

Abstract: The presentation style of a video is identified. A set of features that represents the video is computed. A pre-learned video presentation style classifier is then used to weight each of the features in the set of features and determine a presentation style that is predominately employed in the video based on the weighting of the features.

Abstract: The object detection device 1 detects an object being recognized (such as a pedestrian) in a frame image 42, and identifies an area 42a where a detected object which is detected in the frame image 42 is present. A frame image 43 is input after the frame image 42. The object detection device 1 detects the object being recognized in the frame image 43, and identifies an area 43a where a detected object which is detected in the frame image 43 is present. When a distance from center coordinates 42b of the area 42a to center coordinates 43b of the area 43a is smaller than a reference distance, the object detection device 1 determines that the detected object which is detected in the frame image 43 is identical to the detected object which is detected in the frame image 42.

Abstract: The creation of a supercut is described using techniques to allow users to efficiently create high quality supercuts. A video clip repository may include a number of video clips. The video clip repository may allow users to browse and view video clips in the repository. A supercut creation tool may operate to identify, based on comparison of search criteria received from a user to the set of tags, video clips, from the set of video clips, that are relevant to the search criteria; determine, based on scores of the video clips, an ordering of the video clips; and generate a supercut of the video clips as a single video corresponding to the video clips and arranged in the determined order.

Abstract: A method and system are provided for analyzing occupancy in a space by automatically identifying a region of interest in the space based on image analysis and enabling different outputs based on detection of occupancy in the region of interest or outside it.

Abstract: An image processing device (100) includes a change detection unit (101) that detects a target state change in a person on the basis of an input image, and a determination unit (102) that determines an abnormal state in accordance with a detection obtained by detecting occurrences of the target state change in a plurality of persons.

Abstract: Techniques are described for enhanced interactions for a security automation system using a doorbell camera. One method includes detecting, by the doorbell camera, that a person is located within a distance threshold to an entry of a structure based on received sensor data; identifying, by the doorbell camera, a suggested security action for the security and automation system to perform based on the detecting; transmitting the suggested action to the security and automation system based on the identifying; and broadcasting, via the doorbell camera, in response to the transmitting a message to the person located within the distance threshold.

Abstract: An image processing apparatus sets a first detection area as a detection area for detecting a predetermined object in a first image, modifies the first detection area based on a size of the first image and a size of the second image different from the size of the first image to set a second detection area as the detection area in the second image, and detects the predetermined object in the second detection area.

Abstract: A system and method for verifying detection of partially occluded objects (e.g., pedestrians) in the vicinity of a vehicle. An image input device captures an image and/or video of surroundings. An object detector detects partially occluded pedestrians and other objects in received image information. The detection of a partially occluded pedestrian is verified when a detection window of the partially occluded pedestrian overlaps with a detection window of an occluding object, and the occluding object window is closer to the image input device than the partially occluded object window. Optionally, a range-finding sensor, such as a LIDAR device, determines a range to objects located in the direction of the partially occluded object. The detection of the partially occluded object is verified when the range of one of the other objects located in the direction of the partially occluded object is less than that of the partially occluded object.

Abstract: The present invention is generally directed to methods and systems of estimating visibility around a vehicle and automatically configuring one or more systems in response to the visibility level. The visibility level can be estimated by comparing two images of the vehicle's surroundings, each taken from a different perspective. Distance of objects in the images can be estimated based on the disparity between the two images, and the visibility level (e.g., a distance) can be estimated based on the farthest object that is visible in the images.

Abstract: Systems and method are provided for controlling an autonomous vehicle. A camera configured to capture an image, and a controller can execute an autonomous driving system (ADS) that classify that image. The ADS comprises a classification system for classifying objects in an environment within a driveable area of the autonomous vehicle. The classification system comprises a processor configured to execute a region proposal generator module and an image classification module. The region proposal generator module generates a set of bounding box region proposals for the image. The bounding box region proposals are selected areas of the image that include objects to be classified.