Abstract: Methods and apparatuses are provided for movie and television series video data analysis. The method includes: gathering and reading, by a processor, a plurality of input movies; removing a video border of each input movie; splitting the input movie into short clips, based on accuracy and efficiency requirements of different analyzing models; assessing attributes of each input movie by analyzing, with the different analyzing models, the input movie, the short clips cut from the input movie, and the frame images extracted from the input movie; and summarizing the plurality of input movies based on matching and integrating the attributes assessed for each input movie.

Abstract: A computer-implemented method of identifying an object within a video stream from a camera, and determining the consistency with which the object is identified within plural temporally spaced video frames of the video stream.

Abstract: A computer vision system is provided that includes an image generation device configured to capture consecutive two dimensional (2D) images of a scene, a first memory configured to store the consecutive 2D images, a second memory configured to store a growing window of consecutive rows of a reference image and a growing window of consecutive rows of a current image, wherein the reference image and the current image are a pair of consecutive 2D images stored in the first memory, a third memory configured to store a sliding window of pixels fetched from the growing window of the reference image, wherein the pixels in the sliding window are stored in tiles, and a dense optical flow engine (DOFE) configured to determine a dense optical flow map for the pair of consecutive 2D images, wherein the DOFE uses the sliding window as a search window for pixel correspondence searches.

Abstract: The present disclosure provides a method and a device for training a neural network model for use in analyzing captured images, and an intelligent image capturing apparatus employing the same. The neural network model can be trained by performing the image reconstruction and the image classification using based on image data received from a plurality of image capturing devices installed in the monitoring area, calculating at least one loss function based on data processed by the neural network model or the neural network model training device, and determining parameters minimizing the loss function. In addition, the neural network model can be updated through the re-training taking into account the newly acquired image data. Accordingly, the image analysis neural network model can operate with high precision and accuracy.

Abstract: A method, system and computer program product for reducing learning time for a newly installed camera is disclosed. The method includes generating a new unusual activity model for the newly installed camera, based on portion(s) of existing and established unusual activity model(s) built for different older camera(s), where the existing and established unusual activity model(s) relate to at least one same static object appearing within Fields Of Views (FOVs) of the new and older cameras.

Abstract: In accordance with aspects of the present disclosure, a system of monitoring one or more consumer goods is provided. The system includes at least one monitoring device configured to capture and transmit data about the one or more consumer goods and at least one computing device configured to receive data from the at least one monitoring device, perform analysis on the captured data, and generate one or more notifications or triggers based on the analysis.

Abstract: This disclosure relates to vehicle exterior imaging systems that capture and display views of the exterior environment to vehicle operators. An exemplary vehicle exterior imaging system may include a glass panel including a combiner positioned between a first layer of glass and a second layer of glass, a first exterior side-view imager assembly configured to capture images of a vehicle exterior environment, and a projector assembly configured to project an output image onto the glass panel. The output image is based on the images captured by the first exterior side-view imager assembly. The glass panel may be part of either a windshield or a door window, and the projector assembly may be mounted either outside or inside of a housing of the first exterior side-view imager assembly.

Abstract: A surveillance device according to the present invention includes: a memory; and at least one processor coupled to the memory. The processor performs operations. The operations includes: calculating, based on a value of a parameter that is contained in a received data frame and represents a state of an apparatus, a change in the state of the apparatus; and determining whether the change is included in an allowable range determined in accordance with the state of the apparatus before the change.

Abstract: Methods for vehicle data collection by image analysis are provided. An example method involves positioning a camera in a vehicle to be pointed toward a field of interest in the vehicle, capturing an image of the field of interest with the camera, identifying a region of interest in the image that is expected to convey vehicle information, and running an image processing model over the region of interest to extract vehicle information from the image.

Abstract: A system and method is disclosed for capturing images of one or more moving vehicles (i.e., a target vehicle) from another moving vehicle (i.e., subject vehicle). The disclosed system dynamically adjusts illumination power, exposure times, and/or other settings to optimize image capture that takes into account distance and speed. By optimizing for distances and moving vehicles, the disclosed system improves the probability of capturing a legible, usable photographic image. In one example, the disclosed system may be incorporated into an asymmetric license plate reading (ALPR) system.

Abstract: Solutions for more efficient and effective optical character recognition with respect to an input text segment are disclosed. In one example, a method includes processing an input text image using a deep character overlap detection machine learning model in order to generate a character map for the input text image, an overlap map for the input text image, and an affinity map for the input text image; generating an overlap-aware word boundary recognition output based at least in part on the character map, the overlap map, and the affinity map, wherein the overlap-aware word boundary recognition output describes one or more inferred word regions of the input text image; and performing one or more prediction-based actions based at least in part on the overlap-aware word boundary recognition output.

Abstract: A digital camera processing system with software to manage taking photos with a digital camera. Camera software controls the digital camera. A downloaded software component controls the digital camera software and causes a handheld mobile device to perform operations. The operations may include instructing a user to have the digital camera take photos of a check; displaying an instruction on a display of the handheld mobile device to assist the user in having the digital camera take the photos; or assisting the user as to an orientation for taking the photos with the digital camera. The digital camera processing system may generate a log file including a bi-tonal image formatted as a TIFF image.

Abstract: A digital camera processing system with software to manage taking photos with a digital camera. Camera software controls the digital camera. A downloaded software component controls the digital camera software and causes a handheld mobile device to perform operations. The operations may include instructing a user to have the digital camera take photos of a check: displaying an instruction on a display of the handheld mobile device to assist the user in having the digital camera take the photos; or assisting the user as to an orientation for taking the photos with the digital camera. The digital camera processing system may generate a log file including a bi-tonal image formatted as a TIFF image.

Abstract: Computer-implemented systems and methods, trained through machine learning, score a sentiment expressed in a document. Individual sentences are scored and then overall document sentiment score is computed based on scores of individual sentences. Sentence scores can be computed with machine learning models. Digital matrix generator can generate N×M matrix for each sentence, where the matrix comprises vectors of word embeddings for the individual words of the sentence. A classifier computes a sentence sentiment score for each sentence based on the digital matrix for the sentence. Sentence sentiment scores computed by classifier can be adjusted based on a fuzzy matching of a phrase(s) in the sentence to key phrases in a lexicon that are labeled with a sentiment relevant to the context.

Abstract: An information processing apparatus includes a memory and a processor configured to acquire an image of a digitized document and execute a first verification process by using image processing using artificial intelligence. The first verification process verifies whether a first requirement is satisfied. The first requirement is a specific requirement among multiple requirements that are required when the acquired image of the document is stored. The processor is also configured to execute a second verification process by using a determination process not using the artificial intelligence. The second verification process verifies whether a second requirement among the multiple requirements is satisfied. The second requirement is other than the first requirement.

Abstract: In some implementations, a device may detect edges in an image, and may identify, based on the edges, a rectangle that bounds a document in the image. The device may detect lines in the image, and may identify edge candidate lines by discarding one or more of the lines. The device may identify intersection points where lines, included in the edge candidate lines, intersect with one another. The device may identify corner candidate points by discarding one or more points included in the intersection points, and may identify a corner point included in the corner candidate points. The corner point may be a point, included in the corner candidate points, that is closest to one corner of the bounding rectangle. The device may perform perspective correction on the image of the document based on identifying the corner point.

Abstract: Systems and methods for assessing similarity of documents are provided. Embodiments of the systems and methods include extracting a reference document text from a reference document, extracting an archived document text from an archived document, and quantifying the reference document and the archived document. The systems and methods may also include determining a document similarity value of the quantified reference document and the archived document. Determining the document similarity value includes calculating a set of vector similarity values for a set of combinations of a reference document text vector and an archived document text vector, and calculating the document similarity value, including a sum of the plurality of vector similarity values.

Abstract: A body and hand association method includes: an image to be detected of which an image content includes a body and a hand is acquired; a body bounding box of the body and a hand bounding box of the hand are determined in the image to be detected; an association probability between the body bounding box and the hand bounding box is determined; a circumscribed box of the body bounding box and the hand bounding box is determined; and a degree of association between the body and hand in the circumscribed box is determined based on a hand key point in the circumscribed box and the association probability.

Abstract: An ultrasonic sensor includes a two-dimensional array of ultrasonic transducers, wherein the two-dimensional array of ultrasonic transducers is substantially flat, a contact layer having a non-uniform thickness overlying the two-dimensional array of ultrasonic transducers, and an array controller configured to control activation of ultrasonic transducers during an imaging operation. During the imaging operation, the array controller is configured to control a transmission frequency of activated ultrasonic transducers during the imaging operation, wherein a plurality of transmission frequencies are used during the imaging operation to account for an impact of an interference pattern caused by the non-uniform thickness of the contact layer, and is configured to capture at least one fingerprint image using the plurality of transmission frequencies.

Abstract: An electronic device is provided that includes a display in which a fingerprint recognition area is formed and which includes a display pixel layer, and a rear panel, formed under the display, having a first hole. The electronic device also includes a bracket, disposed under the rear panel, having a sensor accommodating area corresponding to a fingerprint sensor. The electronic device additionally includes the fingerprint sensor disposed under the display pixel layer and adapted to acquire image information to be used for authentication of a fingerprint using at least partially light radiated from the display pixel layer and reflected by the object. The sensor accommodating area has a second hole passing through the bracket, and the fingerprint sensor is disposed in the sensor accommodating area such that an air gap between the display and the fingerprint sensor is formed at least by a portion of the second hole.

Abstract: A fingerprint signal processing circuit for a fingerprint sensor configured to sense light from a display panel touchable by a finger includes an analog front-end (AFE) circuit and an analog-to-digital converter (ADC). The AFE circuit is configured to receive an image signal from at least one sensing pixel of the fingerprint sensor and generate an analog output signal. The AFE circuit includes a gain circuit, which is configured to receive a compensation signal and process the image signal according to the compensation signal to generate the analog output signal, wherein a signal value of the compensation signal corresponds to a touched position of the finger in the fingerprint sensor. The ADC, coupled to the AFE circuit, is configured to convert the analog output signal into a digital code.

Abstract: A living body detection method and device are disclosed. Wherein the method comprises the following steps: extracting valid depth data of a target detection object from depth map data containing the target detection object; generating a depth difference histogram based on the valid depth data; and inputting the depth difference histogram into a pre-trained machine learning classifier to obtain a determination result of whether the target detection object is a living body. By adopting this method, the detection accuracy can be improved.

Abstract: An image matching method includes extracting, from a first image of an object, a landmark patch including a landmark point of the object; extracting, from a second image of the object, a target patch corresponding to the landmark patch; and determining a target point in the second image corresponding to the landmark point based on a matching between the landmark patch and the target patch.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for receiving mission specific data. Converting the mission specific data into attribute classes recognizable by image recognition classifiers, where the image recognition classifiers are pre-trained to detect objects corresponding to the attributed classes within digital images. Obtaining, from a wearable camera system, low resolution images of a scene and high resolution images of the scene. Detecting, within the low resolution images using a low resolution image classifier, an object that corresponds to one of the attribute classes. In response to detecting the object that corresponds to one of the attribute classes, providing, for presentation to a user of the wearable camera system by a presentation system, an first alert indicating a potential detection of the suspect, and providing the high resolution images to a high resolution image classifier.

Abstract: An electronic device and method for texture map generation are disclosed. A set of color images from a set of viewpoints and depth information of a subject's face are acquired. A 3D model is generated based on a color image and the depth information. A set of viewpoint-specific projections of the 3D model are generated along the set of viewpoints. The 3D model is refined based on minimization of difference between each viewpoint-specific projection and a corresponding color image. A set of texture maps corresponding to the set of viewpoints is generated, based on the refined 3D model, and set of color images. A dynamic programming workflow is executed to determine seams along which respective portions of the set of texture maps are to be stitched and the respective portions are stitched along the seams to generate a final texture map for the refined 3D model of the subject's face.

Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

Abstract: The disclosure is inputting a first image obtained by capturing an object of authentication moving in a specific direction; inputting a second image at least for one eye obtained by capturing a right eye or a left eye of the object; determining whether the second image is of the left eye or the right eye of the object, based on information including the first image, and outputting a determination result associated with the second image as left/right information; comparing characteristic information relevant to the left/right information, the characteristic information being acquired from a memory that stores the characteristic information of a right eye and a left eye pertaining to object to be authenticated, with characteristic information associated with the left/right information, and calculating a verification score; and authenticating the object captured in the first image and the second image, based on the verification score, and outputting an authentication result.

Abstract: A first user generates video data for performance of an activity, such as a fitness exercise, by performing the activity in front of a camera. Based on the video data, the amount of movement of different parts of the first user's body is determined. Data representing the position of the first user over time is generated. The data may take the form of a function or a signal that is based on the function. The locations of body parts that move significantly are prioritized over other body parts when determining this data. At a subsequent time, a second user performs the activity. The number of times the second user completes the activity is counted by determining the number of times the second user reaches a position corresponding to a maximum value in the data representing the position of the first user.

Abstract: Embodiments are disclosed for re-timing a video sequence to an audio sequence based on the detection of motion beats in the video sequence and audio beats in the audio sequence. In particular, in one or more embodiments, the disclosed systems and methods comprise receiving a first input, the first input including a video sequence, detecting motion beats in the video sequence, receiving a second input, the second input including an audio sequence, detecting audio beats in the audio sequence, modifying the video sequence by matching the detected motions beats in the video sequence to the detected audio beats in the audio sequence, and outputting the modified video sequence.

Abstract: Provided is a mobile terminal characterized by comprising: a display unit which outputs visual information; a depth camera which captures a subject and acquires a depth image; a memory which stores a vein pattern of a user's hand; and a control unit connected to the display unit, the depth camera, and the memory. The control unit identifies the shape of the user's hand from the depth image, authenticates the user using a pre-stored user vein pattern, and when the user is authenticated, executes a specific application in response to a three-dimensional gesture of the user's hand, and omits an authentication procedure required by the specific application.

Abstract: A liveness test method and apparatus is disclosed. The liveness test method includes detecting a face region in an input image for a test target, implementing a first liveness test to determine a first liveness value based on a first image corresponding to the detected face region, implementing a second liveness test to determine a second liveness value based on a second image corresponding to a partial face region of the detected face region, implementing a third liveness test to determine a third liveness value based on an entirety of the input image or a full region of the input image that includes the detected face region and a region beyond the detected face region, and determining a result of the liveness test based on the first liveness value, the second liveness value, and the third liveness value.

Abstract: A method includes, after completion of a leg of travel with a first-mode travel carrier (FMTC), acquiring, by at least one electronic device, an originating paper bag tag (BT) identifier (OP-BTI) associated with or printed on a printed BT from the FMTC that is on a luggage item of the passenger to create digital BTI data linked to the FMTC. The method includes extracting a passenger bag number from the BTI data and accessing a passenger name record (PNR) from the FMTC, based on the number. The method includes autonomously creating a passenger manifest record from the BTI data and the PNR, with data identifying for check-in of a return leg of the passenger with a return travel carrier (RTC); and repeating the method for a plurality of passengers associated with a lodging entity to autonomously form a manifest file with a conduit for check-in passengers with the RTC.

Abstract: A vehicle safety system of a vehicle facilitates safe exigency ingress into a vehicle. The vehicle safety system may receive data associated with a condition of the vehicle (e.g., from sensors, components, remote signals, passenger input, etc.). Based at least in part on the data associated with the condition of the vehicle, the vehicle safety system may detect a triggering event associated with the ingress of a passenger compartment of the vehicle. Based at least in part on the triggering event, the vehicle safety system may perform a vehicular safety measure associated with ingress to the passenger compartment of the vehicle.

Abstract: A driving assistance device includes a first acquisition unit that acquires hazardous event data for notifying the occurrence of a hazardous event during driving from a driving situation sensing device provided in a vehicle, a second acquisition unit that acquires a deterioration degree of a traveling environment registered in advance in association with a position where the driving situation sensing device senses the hazardous event data, and a determination unit that determines, on a basis of the hazardous event data and the deterioration degree of the traveling environment, whether a hazardous event indicated by the hazardous event data was caused by a driving operation of the driver of the vehicle or the traveling environment.

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Malfunctions may be detected by receiving sensor data from a plurality of sensors. One of these sensors may be selected for assessment. An electronic device may obtain from the selected sensor a set of signals. When the set of signals includes signals that are outside of a determined range of signals associated with proper functioning for the selected sensor, it may be determined that the selected sensor is malfunctioning. In response, an action may be performed to resolve the malfunction and/or mitigate consequences of the malfunction.

Abstract: A diagnostic tool includes a processor, display, and memory storing instructions to perform scan tool functions (STF) including transmitting a message to a vehicle. The STF include first STF for a first system of the vehicle. Additional stored instructions are executable to display a first user-interface screen (UIS) including a first user-selectable control (USC) including an indicator of a first scanner job performable on the vehicle, and to display a second UIS instead of the first UIS in response to a selection of the first USC. The second UIS incudes: a second USC including an indicator of the first STF for the first system of the vehicle, and guidance for performing a procedure of the first scanner job. The stored instructions are executable to transmit a first vehicle data message to a component of the first system in response to a selection of the second USC.

Abstract: A system according to the present disclosure includes an identification module, a data recording module, and a data upload module. The identification module is configured to identify at least one of a vehicle and a user of the vehicle. The data recording module is configured to record a location of the vehicle, an acceleration of the vehicle, and data received from a controller area network (CAN) bus of the vehicle during a driving session. The data upload module is configured to upload the vehicle location, the vehicle acceleration, the CAN bus data, and at least one of the vehicle identification and the user identification to a remote server.

Abstract: A vehicle control system includes: an operation unit disposed in a vehicle and operable by a driver; an operation detection unit configured to detect an operation on the operation unit, and including a displacement unit that is displaced according to an operation amount of the operation unit, and a detection unit that detects a displacement amount of the displacement unit and that outputs a continuous signal according to the displacement amount; and a control unit that inputs the continuous signal detected by the detection unit and performs a predetermined control corresponding to the continuous signal is provided.

Abstract: A key information management device includes a key information distribution unit configured to distribute, to a mobile terminal, key information for unlocking or activating a vehicle by the mobile terminal transmitting a predetermined transmission signal to the vehicle, and the key information distribution unit makes an authority regarding unlocking or activation of the vehicle, which is imparted to the key information, different according to the mobile terminal that is a distribution target.

Abstract: This disclosure includes techniques for controlling smart home devices upon entering a home with a fingerprint sensor in a doorbell device. After capturing a fingerprint of a digit of a guest and sending the fingerprint to a server device, the server device matches the fingerprint of the digit to an entry in a guest fingerprint database for a first user. The server device sends an operational command to a smart home device separate from the doorbell device and located at a same premises as the doorbell device. In response to receiving the operational command from the server device, the smart home device performs an action corresponding to the operational command.

Abstract: Systems and methods for providing a wireless lock system include a locking device wherein the locking device comprises a retractable bolt and a wireless communication transceiver. The systems and methods can also include a bolt catch that is configured to couple with the retractable bolt, wherein, when coupled, the bolt and locking device are locked into a static position relative to the bolt catch. A keypad programmable with a plurality of combination buttons and a wireless communication transceiver can be configured to communicate with the bridge wirelessly. The bolt then protrudes from the locking device to couple with the bolt catch and decouples from the bolt catch and recedes into the locking device in response to one or more wireless signals received from a wireless device. A wireless communication bridge device may also be utilized to provide additional wireless communication links to further devices to expand user reach and interoperability.

Abstract: Systems, methods, and apparatuses for authenticating devices and using an authenticated device to determine an access decision include a computing system including a network interface circuit that facilitates communication via a network and a processing circuit comprising a processor and memory. The processing circuit approves or denies a request to access a secured device. The processing circuit comprises an access management circuit that receives and interprets the access request to identify a user, an authentication database storing authentication data, and a workforce database storing credential data. The access management circuit retrieves the authentication data from the authentication database to determine the user device associated with the access request. The access management circuit retrieves the credential data from the workforce database based on the identification of the user and the authentication data to determine an access decision and approve or deny access to the secured device.

Abstract: A remote access locking system and transportable secure containers are provided with a wireless key fob and optional tamper alarm, location transponder and reversible coupling to secure the container to a vehicle element or to a mounting plate that is fixed to the vehicle. The wireless fob sends wireless command signals to a controller that authenticates the signal and locks or unlocks the container door. The controller may also have a sound generator configured to produce a characteristic chirp when the lock is locked or unlocked by the controller that is different from the vehicle door chirp. The wireless fob for the container may stand alone or have a coupling joining the container fob with a conventional wireless entry fob for a vehicle. The system may also use secondary security measures such as RFID tags for two step authentication.

Abstract: A modular cargo storage system (CSS) is described for use on a base platform of a modular autonomous bot apparatus that transports an item being shipped. The modular CSS includes a set of folding structural walls, an interlocking alignment interface on at least one of the walls, and a modular component power and data transport bus. The walls at least partially enclose a payload area above the base platform. The interlocking alignment interface has a set of latches and a locking handle coupled to the set of latches that actuates the latches to interlock with the base platform. The power and data transport bus have top and bottom side modular component electronics interfaces where each interface has a power conduit outlet and a command and data communication interface.

Abstract: Systems and methods for managing a floating population can be used to obtain a register of a user from a user terminal via at least one terminal interface; receive a fingerprint input instruction from an administrator terminal via the at least one terminal interface; send the fingerprint input instruction to a fingerprint lock via the at least one network interface; obtain at least one fingerprint of the user from the fingerprint lock via the at least one network interface; send a notification to the administrator terminal via the at least one terminal interface after obtaining the at least one fingerprint of the user; and obtain a permission from the administrator terminal via the at least one terminal interface to permit the user associated with the user terminal to open the fingerprint lock using one of the at least one fingerprint.

Abstract: A face authentication apparatus includes a face image acquisition unit that acquires a face image of a user who passes through a first gate provided at a first boundary between zones, a collation unit that performs face authentication on the face image on the basis of a threshold, an operating state acquisition unit that acquires an operating state of a second gate provided at a second boundary that is different from the first boundary, and a threshold change unit that changes the threshold on the basis of the operating state of the second gate.

Abstract: Systems and methods for operating a vending machine and/or kiosk. The methods comprise: detecting a presence of a person in a seat of the vending machine; obtaining a full or partial body heat map for the person that was created based on sensor data generated by at least one sensor of the vending machine or at least one sensor located in proximity to the vending machine (the full or partial heat map showing relative temperatures of different parts of a body of the person); selecting at least one vending service parameter for the vending machine using information obtained based on the full or partial body heat map; and causing the vending machine to provide the person with a vending service in accordance with the at least one vending service parameter that was selected.

Abstract: Systems and methods for camera-based player and gameplay tracking in a gaming environment are provided. Based on facial recognition, a player can be identified and the player gameplay can be logged for player rating purposes. The cameras positioned proximate to the table game can also be used to capture and verify various transactions between the players and the dealer.

Abstract: The present invention generally relates to a gaming machine, and specifically to a gaming machine provided with a novel arrangement for controlling its operation, for example including a first and a second user interface.

Abstract: A technique of synchronizing a timing to display an event in a game with a beat of a sound is provided. A gaming machine includes a display, a speaker, a storage device that stores tempo data including beat information of the entire BGM and BGM sound data, and a controller connected to the display, the speaker, and the storage device. The controller starts a display of a progression of a game in the display while causing the speaker to output the BGM on the basis of the BGM sound data, determines a timing at which an event is displayed on the display on the basis of the tempo data, dynamically configures animation data so that the event is displayed at the determined timing, and causes the dynamically configured animation data to be displayed on the display.