Abstract: Method and system are disclosed for determining conditions of components that are removably coupled to articles of personal protection equipment (PPE) by tracking the components against predetermined criteria.

Abstract: Disclosed are coding and decoding methods using patterns and a system thereof. The object-images are obtained via detecting a pattern comprising objects. The distances between the object-images are obtained and a code is found based on the obtained distances between the object images. The distances between the object-images are defined as distances between centers of the object-images. As there are at least three objects in a pattern, a code is obtained based on a ratio of distances between object-images, which equals to a ratio of distances between objects. As there are at least four objects in a pattern, it is first determined whether a first ratio of object-images equals to a predetermined ratio of object-images. If no, a second ratio of object-images is obtained via a correcting factor and the first ratio of object-image, and finally a code is obtained based on the second ratio of object-images.

Abstract: Assignment device for the sorting of luggage pieces according to a sorting criterion includes a coding station and a processing station. A non-machine readable sorting criterion can be assigned at the processing station. The assignment is effected in that an image of the luggage enabling the assignment can be transmitted to the processing station. A method for sorting luggage pieces according to a sorting criterion includes a step of relaying an image of a luggage piece to the processing.

Abstract: A compact optical arrangement splits the field of view of an upwardly-looking imager into a plurality of intersecting subfields along which return light from a target passes through and past an upright window to the imager. A top mirror is positioned along a vertical axis directly above the imager. Overhead mirror portions located between the imager and the top mirror are spaced radially apart to enable the return light reflected by the top mirror to bypass the overhead mirror portions and pass unobstructedly directly to the imager along a central subfield. A plurality of side fold mirrors reflects the return light passing through the upright window to the overhead mirror portions. The overhead mirror portions are positioned apart to enable the return light reflected by the side fold mirrors to pass to the imager along a pair of outer subfields.

Abstract: Disclosed is a system and method for tracking people in a retail store. The system uses the retail store's digital map, video cameras, unique identifiers, video analytics, geo location technology and a customer's mobile device. The unique identifiers may be labels on hats using, for example, invisible ink or magnetic ink. The digital map of the retail store is used to track people. The user of the tracking system is able to track their party throughout the store even if they the other people in the party do not have a mobile device.

Abstract: A method implemented on a mobile device for selecting information on a paper document using a hand-held scanning device. The method provides an interface to the user, receives information from the hand-held pen scanning device connected to the mobile device and determines if the received information is valid information for the type of information to be selected. The invention further relates to using a remote computer for performing image processing and data extraction when more powerful resources are needed.

Abstract: A novel and practical on-the-go (OTG) USB-compatible anti-counterfeit reader with an emitter circuit that outputs a first signal to an object under test that will emit a second signal, and a receiver circuit that will detect the second signal and converts it to an electric signal to be further analyzed is disclosed. The emitter and receiver circuits are in electronic communication with a control and identification circuit which controls the emitter output duration and intensity and includes programming logic to authenticate the object under test based on the specific reading of the electric signal received. An interface conversion circuit is in communication with the control and identification circuit and is configured for level conversion of data between the control and identification circuit and an interface. A method of utilizing an OTG, USB-compatible anti-counterfeit reader to quickly and efficiently authenticate products is also provided.

Abstract: Disclosed are a portable electronic device and an operation method thereof. The portable electronic device comprises a body, a barcode detector and a barcode decoder. In the barcode detector, a first image capturing module continually captures a barcode image when the portable electronic device is operating in the resting mode, a first buffering module temporarily stores the captured barcode image, and a first image processing module processes the stored barcode stored and counts a number of times when the barcode image has a predetermined pattern feature. When the number of times reaches to a threshold number, the barcode decoder is turned on to capture and decode the barcode image, and the barcode detector is switched to operate in a power-saving mode.

Abstract: Disclosed are a QR code detection device and an operation method thereof. The QR code detection device comprises a body, a barcode detector and a barcode decoder. The barcode detector captures and processes a code image outside the body, and accumulates a number of times when a predetermined pattern feature is recognized in the code image. The predetermined pattern feature is a predetermined distance ratio. The barcode detector chooses a near-distance detection rule or a far-distance detection rule according to the processed code image to determine whether the predetermined pattern feature is recognized in the QR code image. When the barcode decoder determines that the code image is a QR code image because the number of times equals to a threshold number, the barcode decoder is automatically turned on to capture and decode the QR code image outside the body.

Abstract: A particular implementation selects two or more fiducial markers to be embedded into a video to convey information. Specifically, the translation, scaling and rotation between a reference marker and a secondary marker can be used to transmit information. When more information needs to be embedded, more secondary markers can be used. The transformation between the fiducial markers can also evolve over time as the information to be embedded evolves over time. At the receiving side, a reader device captures a video including multiple fiducial markers and determines the translation, scaling and rotation between the fiducial markers. Based on the transformation of the fiducial markers, the reader device can retrieve the information embedded in the captured video by the fiducial markers.

Abstract: A capacitive sensor a method of making a capacitive sensor are disclosed. The capacitive sensor includes: a plurality of rows of sensor electrodes included in a first layer; a plurality of columns of sensor electrodes included in a second layer, where the plurality of columns of sensor electrodes are arranged orthogonally to the plurality of rows of sensor electrodes to form a two-dimensional sensing array; and, a plurality of conductive elements included in a third layer disposed between the first and second layers, wherein, for each conductive element of the plurality of conductive elements, a first end of the conductive element is electrically connected to a sensor electrode in the plurality of rows of sensor electrodes and a second end of the conductive element is capacitively coupled to a sensor electrode in the plurality of columns of sensor electrodes to form a trans-capacitive sensing pixel of the two-dimensional sensing array.

Abstract: A capacitance sensing circuit may include a charge to digital converter, coupled to a signal receiver channel, to receive a signal from a capacitive sense array. The capacitance sensing circuit may also include a baseline compensation signal generator, coupled to the signal receiver channel, to provide a baseline compensation signal in an opposite phase of the signal to the signal receiver channel.

Abstract: Disclosed are sensors for detecting a fingerprint and methods of manufacturing the sensor. The sensor for detecting a fingerprint includes a substrate, first conductor lines formed on a surface of the substrate, an insulating layer formed on the first conductor lines, and second conductor lines formed on the insulating layer. A width of the first conductor lines or a width of the second conductor lines is 1-10 ?m.

Abstract: A display apparatus which is also able to receive and identify fingerprints comprises a first substrate, a second substrate, a liquid crystal layer, a plurality of dummy pixel units located in a non-display region, a fingerprint identification module, and a plurality of data extending lines. Each of the dummy units comprises first and second auxiliary electrodes. The fingerprint identification module comprises signal transmitting layer and signal receiving components on the signal transmitting layer. The signal receiving component receives reflected ultrasonic wave and converts the received waves into fingerprint signal. The data extending line is electrically connected with the dummy pixel unit. The signal receiving component transmits the fingerprint signals to the at least one first auxiliary electrode and the data extending line thus receives the fingerprint signal.

Abstract: Systems and methods of an electronic device include an imaging device and a button. The electronic device also has circuitry configured to acquire a first fingerprint image captured by the imaging device in which the button is not engaged; extract first fingerprint features from the first fingerprint image; store the first fingerprint features as a registered fingerprint image; acquire a second fingerprint image captured by the imaging device in which the button is engaged; extract second fingerprint features from the second fingerprint image; compare the first fingerprint features of the registered fingerprint image and the second fingerprint features extracted from the second fingerprint image; and calculate and store an amount of distortion of the second fingerprint image based on a result of the comparing.

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: An input device for fingerprint sensing and proximity sensing includes a cover layer, where a top surface of the cover layer is configured to provide an input surface for a finger, a substrate having a cavity disposed below the cover layer, and a fingerprint sensor disposed below the cover layer and in the cavity of the substrate. A first adhesive layer is disposed between a top surface of the fingerprint sensor and a bottom surface of the cover layer in a fingerprint sensing area. A second adhesive layer is disposed between a top surface of the substrate and the bottom surface of the cover layer in a proximity sensing area.

Abstract: A capacitive fingerprint sensing apparatus includes sensing electrodes, a sensing driver, and a processing module. In a self-capacitive sensing mode, the sensing driver performs self-capacitive sensing on at least one sensing electrode to obtain a first fingerprint sensing signal. In a mutual-capacitive sensing mode, the sensing driver performs mutual-capacitive sensing on at least two adjacent sensing electrodes to obtain a second fingerprint sensing signal. The processing module generates a first fingerprint pattern and a second fingerprint pattern according to the first fingerprint sensing signal and the second fingerprint sensing signal and combines the first fingerprint pattern and the second fingerprint pattern into a combined fingerprint pattern. The resolution of the combined fingerprint pattern along at least one direction is larger than that of the first fingerprint pattern and the second fingerprint pattern along the at least one direction.

Abstract: A hybrid estimator system using visual and inertial sensors for real-time pose tracking on devices with limited processing power using at least one processor, a memory, a storage and communications through a protocol and one or more than one software module for a hybrid estimator, real-time algorithm selection to process different measurements, statistical learning for these characteristics to compute the expected device computing cost of any strategy for allocating measurements to algorithms, and algorithm selection based on the statistical learning module.

Abstract: A method and a device are provided for performing a recognition process. The recognition process compares an individual fingerprint view to a fingerprint enrollment template in order to determine whether a match has been found. The determination of a match is based on individual match statistics collected between the individual fingerprint view and each view of the fingerprint enrollment template. Additionally, inter-view match statistics between each view of the fingerprint enrollment template may also be determined. The inter-view match statistics can be analyzed along with the individual match statistics to further inform the determination of a match between the individual fingerprint view and the fingerprint enrollment template.

Abstract: Embodiments of the present invention provide systems and methods for image capture with infrared emitters, with associated computer control and processing for providing consistent and high quality image data. Image data of consecutive frames from a camera is obtained, with a first frame being taken during an emission of infrared light directed at a scene to be captured by the camera and a second frame being taken without an emission of infrared light. The consecutive frames provide a dynamic control image of the captured scene. The image data may be used to support photometric sampling techniques used in building geometric models for subject recognition in camera imagery in variable lighting environments.

Abstract: Disclosed are a system and a method for detecting feature points of a face. The system for detecting feature points of a face include: a training unit configured to divide each of a plurality of facial images into segments of a predetermined size, and generate an eigen-codebook representing a correlation between a feature vector of each of the divided segments and location of a predetermined feature point in the facial image; and a detection unit configured to detect a facial area from a target image, divide the facial area into segments of a predetermined size, detect a feature vector of each of the divided segments of the facial area, and detect a location of a feature point in the facial area by using the detected feature vector and the eigen-codebook.

Abstract: Although widely used, electronic crypto-systems' complexity are, in a sense, their biggest weakness. In that sense, users' lack of understanding of cryptographic fundamentals represents the weakest-link in the security of electronic messages systems that use highly sophisticated encryption algorithms. This invention improves the cryptographic processes of identification and authentication by simplifying them; making cryptographic identification as natural to the user as recognizing the face of a speaker. By representing cryptographic identification information as a face, authenticating the source of an electronic message can be done in a way that emulates the centuries-old method of visually recognizing the person to whom you are speaking. This invention regards a method of key-fingerprint visualization that is unique, reproducible, and nearly impossible to forge which aims to improve the usability of crypto-systems by creating a visual representation of the key-fingerprint as a face.

Abstract: A wearable apparatus is provided for identifying a person in an environment of a user of the wearable apparatus based on non-facial information. The wearable apparatus includes a wearable image sensor configured to capture a plurality of images from the environment of the user, and a processing device programmed to analyze a first image of the plurality of images to determine that a face appears in the first image. The processing device also analyzes a second image of the plurality of images to identify an item of non-facial information appearing in the second image that was captured within a time period including a time when the first image is captured. The processing device also determines identification information of a person associated with the face based on the item of non-facial information.

Abstract: A wearable apparatus is provided for capturing and processing images from an environment of a user. In one implementation, the wearable apparatus may determine an emotional environment of the user of the wearable apparatus. The wearable apparatus may include an image sensor and capture one or more images from an environment around the user. The wearable device may also be configured to analyze the one or more images to identify facial expressions of a person in the image. In some embodiments, the wearable apparatus may also identify the person in the one or more images. The wearable apparatus may also transmit information associated with the facial expression and/or identity to an external device.

Abstract: A method, computer readable medium and apparatus for verifying an identity of an individual based upon facial expressions as exhibited in a query video of the individual are disclosed. The method includes receiving a reference video for each one of a plurality of different individuals, wherein a plurality of facial gesture encoders is extracted from at least one frame of the reference video describing one or more facial expressions of each one of the plurality of different individuals, receiving the query video, calculating a similarity score for the reference video for the each one of the plurality of different individuals based on an analysis that compares the plurality of facial gesture encoders of the at least one frame of the reference video for the each one of the plurality of different individuals to a plurality of facial gesture encoders extracted from at least one frame of the query video.

Abstract: According to an embodiment, a detection device includes a camera, a memory, and processor circuitry. The camera is connected to an internal bus and configured to acquire an image including an area in which a mobile body is movable. The memory is connected to the internal bus and configured to store data and a program. The processor circuitry is connected to the internal bus and configured to detect at least the area, a mark on the area, and a person, from the image, calculate a first distance between the person and a position of the device when the person is in the area, and set a range according to a result of the detection and the first distance.

Abstract: A product information outputting method includes: detecting that a hand of a person is present in a first area that is set according to a position of a product; and when the hand of the person is not detected in any one of the first area and a second area and the product is not detected in a product detection area after presence of the hand was detected based on the detecting, determining that the product has been moved out of the product detection area, the second area containing the first area, the product detection area set according to the position.

Abstract: Enhanced contrast between an object of interest and background surfaces visible in an image is provided using controlled lighting directed at the object. Exploiting the falloff of light intensity with distance, a light source (or multiple light sources), such as an infrared light source, can be positioned near one or more cameras to shine light onto the object while the camera(s) capture images. The captured images can be analyzed to distinguish object pixels from background pixels.

Abstract: A system and a method are disclosed for organizing content collected in a pen-based computing system. Content collected in the pen-based computing system includes stroke data collected by a smart pen as well as other contextual data collected by the pen-based computing system. The collected stroke data includes timestamps and positional data. Based on correlations of spatial and temporal data, collected stroke data is grouped into clusters of stroke data. The clusters of stroke data, along with contextual data, are further grouped into snippets based on temporal correlations.

Abstract: An apparatus and method for document image orientation detection. When a ratio of a difference between similarities between a current text line and reference samples in two selected candidate orientations is greater than or equal to a first threshold value, 1 is added to a voting value of a candidate orientation corresponding to the largest similarity in the orientations, and when the ratio of the difference is less than the first threshold value, a product of the ratio of the difference and a parameter related to the first threshold value is added to the voting value of the candidate orientation corresponding to the largest similarity in the orientations. Hence, setting a voting value can efficiently lower influence of noise text lines, low-quality text lines and unsupported text lines on the orientation detection, thereby achieving accurate document image orientation detection.

Abstract: Methods, systems, and computer program products for determining severity of a geomagnetic disturbance on a power grid using similarity measures are provided herein. A method includes extracting multiple features of activity associated with geomagnetically induced currents from multiple heterogeneous data streams; comparing the extracted features to historical data related to geomagnetically induced currents to determine a level of similarity between each of the extracted features and the historical data; assigning a level of severity to one or more of the extracted features having a level of similarity with the historical data above a given threshold; and generating a notification comprising (i) a prediction of activity associated with geomagnetically induced currents based on the extracted features having a level of similarity with the historical data above the given threshold, and (ii) the level of severity assigned thereto.

Abstract: A robot arm and a light are capable of varying and setting an image capturing condition of an object. A computer captures an image of the object with a camera in a state in which image capturing conditions of multiple kinds are set for the object by controlling the robot arm and the light in an image capturing process to acquire many original images corresponding to the respective image capturing conditions. The computer performs image processing on the original images corresponding to the respective image capturing conditions acquired in the image capturing process to generate reference images corresponding to the respective image capturing conditions.

Abstract: Infrared lamp control is described for use with iris recognition authentication. In one example, an eye of a face is detected using a user facing camera. A position of the detected eye with respect to an infrared (IR) camera is determined. The IR camera has a field of view and the detected eye does not fill the field of view of the IR camera. A time of exposure by the IR camera for the portion of the IR camera field of view filled by the detected eye is determined. The eye is then illuminated by activating an IR lamp during the time of exposure and deactivating the IR lamp after the time of exposure.

Abstract: A method for recognizing individual plants of a selected type growing in a field, wherein the method comprises capturing color NIR image data of an entire field having plants of a selected type growing therein utilizing an automated plant counting system and calculating a ratio value between each pixel of the color image data and the corresponding pixel of the NIR image data utilizing a plant recognition algorithm executed via a data processing system of the plant counting system. The method additionally comprises generating, via execution of the plant recognition algorithm, a false color image of the field based on the calculated ratios for each pixel, and identifying, via execution of the plant recognition algorithm, all plants of the selected type in the false color image based on a plant distinguishing characteristic uniquely rendered for each individual plant of the selected type in the false color image.

Abstract: According to one embodiment, a system includes a wearable device on a head of a user and including a display in a line of vision of the user, a first detector configured to detect a movement of the user, a second detector configured to detect a state of an apparatus operated by the user, and a server connected to the wearable device, the first detector and the second detector. The server is configured to display information about work contents of the user on the display based on a detection result of the first detector and a detection result of the second detector.

Abstract: A system is provided for analyzing information collected by a plurality of wearable camera systems. In one implementation, the system may include a memory storing executable instructions and at least one processing device. The at least one processing device may be programmed to execute the instructions to receive information derived from image data captured by the wearable camera systems; analyze the derived information to identify a commonality related to the image data captured by at least two of the wearable camera systems; determine, based on the commonality, statistical data related to users of the at least two of the wearable camera systems; and select, based on the statistical data, at least one content item for at least one of the users of the wearable camera systems who share the commonality.

Abstract: A method of managing bandwidth associated with video transmissions over a computer network is disclosed. A plurality of video transmissions is received from a plurality of video cameras connected to a computer surveillance system via the computer network. Quality levels of the plurality of video transmissions are set to a first level. A first analysis is performed on a video transmission to identify whether a region of interest exists. A quality level of the video transmission is increased to a second level with respect to the region of interest. A second analysis is performed on the region of interest to identify whether an actionable event has occurred in an area monitored by one of the plurality of video cameras. The quality level may subsequently be restored to the first level to keep usage of the bandwidth efficient and scalable for a large number of camera nodes.

Abstract: Provided are a clustering method using broadcast content and broadcast related data and a user terminal to perform the method, the clustering method including creating a story graph with respect to each of a plurality of scenes associated with broadcast content based on the broadcast content and broadcast related data, and creating a cluster of a scene based on the created story graph.

Abstract: An event sensing method using a frequency component in a surveillance camera comprises the steps of: obtaining at least one of a plurality of frequency components for a first frame of a digital image and at least one of a plurality of frequency components for a second frame after the first frame of the digital image; and sensing whether an event occurs in a digital image corresponding to the second frame by using the at least one of the plurality of frequency components for the first frame and the at least one of the plurality of frequency components for the second frame.

Abstract: Described embodiments detect changes in a scene over time using first and second images of the scene. A non-coherent intensity change detector detects large-scale changes between the first image and the second image and generates a large-scale change value for pairs of corresponding pixel locations in the first and second images. If the large-scale change value for a given pair of pixel locations reaches a threshold, a coherent change detector is used to detect small-scale changes between the first and second images. A small-scale change value is generated for the given pairs of pixel locations in the images. A composite change value is generated by combining the large-scale change value and the small-scale change value for each pixel pair. The change thresholds are used to determine whether a change in the scene has occurred over the time period.

Abstract: A road light monitoring device includes a light detecting unit detecting light sources and generating a voltage signal, a storage unit storing a plurality of light parameter ranges, a camera shooting unit and a processing unit. Therein, the processing unit couples with the light detecting unit, the storage unit and the camera shooting unit respectively. The processing unit obtains image data from the voltage signal obtains light parameters from the image data, compares the light parameters with the plurality of light parameter ranges, determines whether the light parameters fall into one of the plurality of light parameter ranges, controls the camera shooting unit to start to shoot images of the light sources when the light parameters do not fall into the one of plurality of light parameter ranges, and transmits the shoot images to a monitoring center via an Internet.

Abstract: An object recognition device includes: a storage unit that stores image information corresponding to respective shapes of a plurality of objects, and a control unit that groups a plurality of signals detected by a distance detection unit to acquire position information of at least one of the plurality of objects, sets a first object of the plurality of objects based on the acquired position information, sets an interference area based on position information of the first object, acquires position information and image information of a second object of the plurality of objects located in the interference area, and corrects the acquired position information of the second object based on the image information of the second object and the image information stored in the storage unit.

Abstract: A two-stage pipeline includes a first stage that is a static filter applied to an inverse perspective mapping (IPM) image. A SLAT (Symmetrical Local Adaptive Threshold) method, according to some embodiments, is more adaptive to environment changes. Additional geometry restrictions in the static filter remove clutter. The second stage of the pipeline is a dynamic filter. The motion of blobs is analyzed to find regions that look and behave like road marking.

Abstract: A method and device for detecting objects in the dark using a vehicle camera and a vehicle lighting system. The method comprising: a) taking a first image with the vehicle lighting switched off; b) taking a second image with the vehicle lighting switched on; c) generating a differential image of the second and first images; and d) detecting reflective objects using the differential image.

Abstract: A system for driver risk determination using machine vision includes an interface and one or more processors. The interface is to receive one or more video data streams. The one or more processors is/are to determine, whether a driving behavior risk type appears in one of the one or more video data streams; and in the event that the driving behavior risk type appears in the one of the one or more video data streams, indicate the driver behavior risk type.

Abstract: A system and method is able to recognize a user's natural superimposed handwriting without any explicit separation between characters. The system and method is able to process single-stroke and multi-stroke characters. The system and method can also process cursive handwriting. Further, the system and method can determine the boundaries of input words either by the use of a specific user input gesture or by detecting the word boundaries based on language characteristics and properties. The system and method analyzes the handwriting input through the processes of segmentation, character recognition, and language modeling. These three processes occur concurrently through the use of dynamic programming.

Abstract: A device for weighing a user includes a weight sensor that determines a weight of the user, and a bare feet image sensor that generates an image of the bare feet of the user. The device includes a processor that is responsive to the weight sensor and to the bare feet image sensor and executes computer program instructions to perform operations such as identifying a provisioned user out of one or more provisioned users based on the image of the bare feet of the user standing on the device. A database stores information associated with the image of the bare feet of one or more provisioned users of the device. The weight of the user associated with the identified provisioned is stored. Related devices and methods are provided.

Abstract: Extracting card data comprises receiving, by one or more computing devices, a digital image of a card; perform an image recognition process on the digital representation of the card; identifying an image in the digital representation of the card; comparing the identified image to an image database comprising a plurality of images and determining that the identified image matches a stored image in the image database; determining a card type associated with the stored image and associating the card type with the card based on the determination that the identified image matches the stored image; and performing a particular optical character recognition algorithm on the digital representation of the card, the particular optical character recognition algorithm being based on the determined card type. Another example superimposes the extracted data directly above, below, or beside the corresponding section on the displayed image.

Abstract: The present disclosure is related to an optical encoder which is configured to provide precise coding reference data by feature recognition technology. To apply the present disclosure, it is not necessary to provide particular dense patterns on a working surface. The precise coding reference data can be generated by detecting surface features of the working surface.