Abstract: A method and apparatus for processing images. A set of candidate targets is identified in a first image and in a second image that corresponds with the first image. A set of first scores is generated for the set of candidate targets using the first image. A set of second scores is generated for the set of candidate targets using the second image. A set of final scores is computed for the set of candidate targets using the set of first scores and the set of second scores. A determination is made as to which of the set of candidate targets is a target of interest based on the set of final scores.

Abstract: System, apparatus, method, and computer readable media for on-the-fly captured image data object tracking. An image or video stream is processed to detect and track an object in concurrence with generation of the stream by a camera module. In one exemplary embodiment, HD image frames are processed at a rate of 30 fps, or more, to track one or more target object. In embodiments, object detection is validated prior to employing detected object descriptor(s) as learning data to generate or update an object model. A device platform including a camera module and comporting with the exemplary architecture may provide 3A functions based on objects robustly tracked in accordance with embodiments.

Abstract: A method for deriving accurate body size measures of a user from a sequence of 2D images includes: a) automatically guiding the user through a sequence of body poses and motions; b) scanning the body of said user by obtaining a sequence of raw 2D images of said user as captured by at least one camera during said guided sequence of poses and motions; c) analyzing the behavior of said user to ensure that the user follows the provided instructions; d) extracting and encoding 2D shape data descriptors from said sequence of images by using a 2D shape analyzer (2DSA); and e) integrating said 2D shape descriptors and data representing the user's position, pose and rotation into a 3D shape model.

Abstract: In an embodiment, a data store storing a first image and a second image; a computer processor coupled to the data store and programmed to: generate a first fingerprint of the first image based on a first plurality of pixels from the first image stored in the data store; generate a second fingerprint of the second image based on a second plurality of pixels from the second image stored in the data store; determine a closeness value between the first fingerprint and the second fingerprint; determine, based on the closeness value, whether the first image matches the second image.

Abstract: An information processing apparatus comprises an obtaining unit configured to obtain a moving image in which each frame is constituted by an image having a plurality of pieces of light field information, and a setting unit configured to set a focus distance for each frame of the moving image, wherein the setting unit displays a range of settable focus distances for each frame of the moving image.

Abstract: An embodiment of a Wearable Computer with Natural User Interface apparatus includes a first portable unit for data gathering and communicating feedback and a second portable unit for processing the at least gathered data from the first unit.

Abstract: A system for distinguishing a first group of persons from a second group of persons among plural persons who are present inside an area, and the system includes processing circuitry that: detects first positions of the plural persons who are present inside the area based on a heat image; detects second positions of the second group of persons who are present inside the area based on identification signals transmitted from portable wireless terminals of the second group of persons; and determines, as the first group of persons, those who are present at positions different from the second positions based on the first and second positions.

Abstract: A method is provided for tracking-based visibility range estimation for a vehicle, the method including a step of tracking an object detected in a first image at a first point in time and in a second image at a second point in time, a step of ascertaining a first object luminance of the object and a first distance to the object at the first point in time and also ascertaining a second object luminance of the object and a second distance to the object at the second point in time, and also a step of determining an atmospheric extinction coefficient using the first object luminance, the second object luminance, the first distance, and the second distance, the atmospheric extinction coefficient being in direct correlation to visibility range.

Abstract: Methods and systems for determining a vehicle location and pose are provided. A vehicle localization system may determine a location and pose estimate for the vehicle. The system may retrieve three-dimensional map data based on the location and pose estimate. The system may obtain a camera image from a vehicle mounted camera. The system may project the three-dimensional map data onto the camera image based on the location and pose estimate. The system may compare the projected three-dimensional map data to the camera image. The system may then determine the vehicle location and pose based on the comparing.

Abstract: In an image processing apparatus, an image data acquisition unit acquires image data including R-pixels which are red pixels, holding red luminance values, B-pixels which are blue pixels, holding blue luminance values, G-pixels which are green pixels, holding green luminance values, and C-pixels which are clear pixels, holding luminance values in a wavelength range including wavelength ranges corresponding to red, blue and green. In the apparatus, a determination unit determines whether or not an inequality given by Valc?Valx<? is satisfied, where Valx is a luminance value of a pixel of interest that is one of the R-, B-, and G-pixels in the image data, Valc is a luminance value of the C-pixel or pixels closest to the pixel of interest, and ? is a constant, and if the inequality is satisfied, a correction unit corrects the luminance value Valx to be less than the luminance value Valc.

Abstract: Methods and systems for real-time road flare detection using templates and appropriate color spaces are described. A computing device of a vehicle may be configured to receive an image of an environment of the vehicle. The computing device may be configured to identify a given pixels in the plurality of pixels having one or more of: (i) a red color value greater than a green color value, and (ii) the red color value greater than a blue color value. Further, the computing device may be configured to make a comparison between one or more characteristics of a shape of an object represented by the given pixels in the image and corresponding one or more characteristics of a predetermined shape of a road flare; and determine a likelihood that the object represents the road flare.

Abstract: A parking assistance system includes: a color/IR detector which detects, from a camera image captured with a camera, marker candidates that are areas in each of which an intensity of a color component or an infrared (IR) component exceeds a threshold; a marker position calculator which calculates positions of the marker candidates in the camera image; and a validity verifier which determines whether the marker candidates are valid as the markers, based on the positions of the marker candidates and a predetermined positional relationship of the markers.

Abstract: Techniques presented herein describe rotating text content rendered on a mobile device to a preferred orientation based on the mobile device orientation and language of the text content. A display tool executing on the mobile device detects an orientation of the mobile device changing from a first orientation to a second orientation. The mobile device currently displays the characters in the text content according to the first orientation. The display tool determines that the text content is written in a specified language. The display tool re-renders the display of the characters in the text content and any accompanying images according to the second orientation.

Abstract: A system for generating a predictive virtual personification includes receiving, from an AV data source, a data store, and a saliency recognition engine, wherein the AV data source is configured to transmit one or more AV data sets to the saliency recognition engine, each AV data set includes a graphical representation of a donor subject, and the saliency recognition engine is configured to receive the AV data set and one or more identified trigger stimulus events, locate a set of saliency regions of interest (SROI) within the graphical representation of the donor subject, generate a set of SROI specific saliency maps and store, in the data store, a set of correlated SROI specific saliency maps generated by correlating each SROI specific saliency map a corresponding trigger event.

Abstract: A method of automatic defect classification (ADC) includes detecting defective parts from a substrate wherein at least one unit process is performed; and classifying defect types of the respective defective parts, wherein the classifying includes obtaining a scanning electron microscope (SEM) image of each of the defective parts; registering information about the substrate in a graphic data system (GDS) image corresponding to each SEM image; defining a plurality of defects of interest (DOIs) categorizing defects of the respective defective parts; defining a DOI rule that is a criterion for determining which defects of the respective defective parts correspond to which DOI from among the DOIs; and analyzing the image to classify which defects of the respective defective parts correspond to which DOI from among the DOIs according to the DOI rule.

Abstract: Disclosed are a system, apparatus, and method for detecting objects. Input image frames may be received and distinct regions created within each frame. Descriptors may be extracted from the regions according to their associated probability. Extracted descriptors may be matched to reference descriptors. Votes or confidence is cast for particular regions according to region properties. The region properties may be determined from center voting methods based on vector intersection to other vectors or intersections with a region. The probability of selecting particular regions can increase with each vote or increase in confidence for a region. In response to updating probabilities, additional regions may be selected and additional descriptors may be extracted. Additional voting iterations can update the probability of selecting a next region. An object pose may be estimated in response to meeting one or more thresholds.

Abstract: In a method for rotating photos, an orientation flag value of a photo is obtained when the photo is viewed by a user of the electronic device. A rotational value of the photo is determined according to the obtained orientation flag value. The photo is rotated according to the determined rotational value when the photo is displayed on a display screen of the electronic device.

Abstract: An intelligent system detects triangles in digital photographic images, including portrait photography. The method extracts a set of filtered line segments as candidate triangle sides and/or objects as candidate triangle vertices. A modified RANSAC algorithm is utilized to fit triangles onto the set of line segments and/or vertices. Two metrics may then be used evaluate the fitted triangles. Those with high fitting scores are considered as detected triangles. The system can accurately locate preeminent triangles in photographs without any knowledge about the camera parameters or lens choices. The invention can also help amateurs gain a deeper understanding and inspirations from professional photographic works.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a set of regions corresponding to a geographical area. A collection of training images can be acquired. Each training image in the collection can be associated with one or more respective recognized objects and with a respective region in the set of regions. Histogram metrics for a plurality of object categories within each region in the set of regions can be determined based at least in part on the collection of training images. A neural network can be developed based at least in part on the histogram metrics for the plurality of object categories within each region in the set of regions and on the collection of training images.

Abstract: Determining a set of edit operations to perform on a string, such as one generated by optical character recognition, to satisfy a string template by determining a minimum cost of performing edit operations on the string to satisfy the string template and then determining the set of edit operations corresponding to the minimum cost. Transforming a string to satisfy one or more string templates by determining a minimum cost of performing edit operations on the string to satisfy one or more string templates, selecting one or more minimum costs, determining a set of edit operations corresponding to the minimum costs, and then performing the set of edit operations on the string. Determining a minimum cost of performing edit operations on a string to satisfy a string template by determining set costs of performing sets of edit operations using costs associated with edit operations of the set and determining the minimum cost using the set costs.

Abstract: An image evaluation device includes: a reading unit that reads a sample image included in a sample printout recognized as a non-defective printout and that reads an inspection object image included in an inspection object printout obtained by printing an image corresponding to the sample image on a recording medium using a printing device based on image data representing the image; an extraction unit that extracts a line defect including a linear pattern formed in a specific direction from the inspection object image represented by inspection object image data, based on a difference value between sample image data obtained by reading the sample image and the inspection object image data; and an evaluation unit that evaluates a visibility of the line defect extracted by the extraction unit.

Abstract: An image forming apparatus includes a control circuit configured to determine whether one of an x-coordinate and a y-coordinate of a path specified in each of successive drawing commands for vector objects is the same, wherein the successive drawing commands are received in incoming printable data. The control circuit is further configured to execute, when there is a new successive drawing command for a vector object in which one of an x-coordinate and a y-coordinate of the path specified by the new successive drawing command is different from the x-coordinate or y-coordinate that has been determined to be the same for previously received successive drawing commands, all of the previously received successive drawing commands having the same x-coordinate or y-coordinate.

Abstract: An image processing system for executing a plurality of processes includes a process execution control apparatus, and image generation-output control apparatuses of different types. The process execution control apparatus includes a process execution controller to control the processes, and to transmit a command information to the image generation-output control apparatuses. Each of the image generation-output control apparatuses includes a command information converter to convert the command information to a format processable by the image generation-output control apparatus, an imposition convertor to convert initial designation information to imposition process information processable by the image generation-output control apparatus, and an image drawing information generator to generate image drawing information.

Abstract: A method and system for rendering rectangle drawing objects using a clip region are provided. For at least a first rectangle drawing object and a second rectangle drawing object, a determination is made if the first rectangle drawing object and the second rectangle drawing object satisfy a predetermined condition. If the predetermined condition is satisfied, one-line raster image data associated with the first and second rectangle drawing objects is generated, and a clip region corresponding to the first and second rectangle drawing objects is generated. Subsequently, the one-line raster image data may be used together with the clip region to fill a clipped drawing region corresponding to the first and second rectangle drawing objects.

Abstract: A mobile terminal operated in cooperation with an information processing device capable of setting an authentication mode relating to user authentication to one mode selected from two kinds of modes of an authentication request mode requiring the user authentication, and a non-authentication request mode not requiring the user authentication, the mobile terminal including: a display unit configured to display a confirmation message inquiring a user of the mobile terminal whether to perform authentication operation; and a control unit configured to control display operation for displaying the confirmation message, acquiring, from the information processing device, authentication mode information being information representing whether the authentication mode is the authentication request mode or the non-authentication request mode, and displaying the confirmation message on the display unit, on condition that the authentication mode information is acquired, the authentication mode information representing that

Abstract: The disclosure provides for methods, compositions, systems, devices, and kits for determining the number of distinct targets in distinct spatial locations within a sample. In some examples, the methods include: stochastically barcoding the plurality of targets in the sample using a plurality of stochastic barcodes, wherein each of the plurality of stochastic barcodes comprises a spatial label and a molecular label; estimating the number of each of the plurality of targets using the molecular label; and identifying the spatial location of each of the plurality of targets using the spatial label. The method can be multiplexed.

Abstract: The present invention is directed towards methods and apparatus for barcode reading and encoding. In accordance with an embodiment, a method of reading and encoding barcode information is provided. A one-dimensional barcode image is decoded using an electronic device to obtain data encoded by the one-dimensional barcode image. The data is encoded into a two-dimensional barcode image. The two-dimensional barcode image is displayed in a manner suitable for reading by a scanner configured for reading two-dimensional barcodes.

Abstract: A radio frequency identification (RFID) device has controllable features that allow for modification of its interaction with external devices, such as RFID readers. The RFID device may have multiple antennas, coupled to multiple contacts of a chip of the device. The chip may include a real or virtual switch for selectively coupling the chip to either of the antennas. The switch may be activated by an external signal sent to the RFID device. The RFID device also may be controlled by adjusting an adjustable modulator within the RFID device. The modulator may adjust outgoing signals from the RFID device to an appropriate level of signal strength, or to have other suitable characteristics. By control of the antenna couplings and/or the modulator settings of the RFID device, adjustments in performance of the RFID device may be made for suitable operation in a variety of situations and environments.

Abstract: A card is provided, such as a credit card or security card, that may transmit information to a magnetic stripe reader via a magnetic emulator. The emulator may transmit the information in order to reduce the amount of circuitry needed to emulate a particular block of information. Additionally, for example, one or more buttons may be included on the card. Buttons may be includes, for example, to provide a control interface to navigate through various options of the card. Additionally, coding schemes may be selected via buttons. Furthermore, a card may be locked until a private number is entered into a card or a number may only be generated (e.g., displayed and/or emulated) once a particular private number is entered into a card.

Abstract: A radio frequency identification (RFID) transponder tag is contained in and electrically connected to a mechanically rugged metallic tag housing slotted to define a radio frequency antenna, such as a half turn antenna, and sealed with an epoxy filling.

Abstract: Embodiments are discussed herein related to radio frequency identification (“RFID”) and, more particularly, to systems, methods, apparatuses, computer readable media products and other means for integrating two transponders into a tag, where each transponder functions independent from and does not couple with the other transponder. In some embodiments, one of the transponders can be a near field RFID transponder and the other a far field transponder. The near field RFID transponder can be used to, among other things, authenticate the far field RFID transponder. In some embodiments, the far field RFID transponder can be encoded to transmit generic information, while the near field RFID transmits more detailed or user-specific information. Additionally, in some embodiments, the near field and far field RFID transponders can operate in accordance with the same wireless protocol and include their own circuitry and antenna.

Abstract: In one embodiment, chip-cards are fed from conveyor canisters individually into an array of N heterogeneous encoding assemblies of a heterogeneous chip-card production apparatus. Each chip-card is associated with a user account based on a database. Smart chips and magnetic stripes of the chip-cards are encoded asynchronously, electrically and magnetically by the N assemblies with N independent timing protocols for the N assemblies. Encoded chip-cards are deposited asynchronously in parallel by the N assemblies onto a conveyor belt and transported asynchronously and serially to a chip-card printer. The chip-card printer synchronizes each encoded chip-card with associated user account and prints on a surface of the encoded chip-card based on the associated user account.

Abstract: The present technique relates to an information processing device, an information processing method, a recording medium, and a program capable of extracting the structure of time series data. An acquisition unit acquires time series data, a conversion unit converts the obtained time series data into an RAR model, and a prediction unit predicts the future of an event that is currently in progress using the RAR model. The present technique can be applied when predicting the future of a phenomenon that changes with time such as weather, earthquake, natural environment, human health, and economy from time series data.

Abstract: The modeling of an impression effect may include generating a content item impression effect distribution. A classification model may be used to determine a period of the content item impression effect distribution based on one or more accessed impression effect parameters. A value for a content item may be determined based, at least in part, on the determined period and a bid associated with the content item. A content item may be selected based on the determined value and data to display the selected content item may be transmitted. In some instances, the determined period may be used to determine or select predictive model for the determined period that outputs a factor to modify the determined value.

Abstract: In an embodiment, an improved computer-implemented method of efficiently determining actions to perform based on data from a streaming continuous queries in a distributed computer system comprises, at a central control computer, receiving a streaming continuous query and a rule-set; wherein the rule-set comprises decision data representing decisions based on attributes produced by the query, and action data representing end actions based on the decisions, wherein the attributes comprise data processed by one or more networked computers; separating the streaming continuous query into a sub-query executable at one or more edge computers; categorizing end actions from the set based on decisions requiring attributes available from the sub-query into a set of one or more edge expressions that are configured to be evaluated at an edge agent to cause an action; providing the set of edge expressions and the sub-query to at least one edge computer with instructions to process visible attributes on the edge computer an

Abstract: In order to provide a vehicle behavior prediction device and a vehicle behavior prediction method, and a driving assistance device that uses said vehicle behavior prediction device, which enables vehicle behavior to be predicted in a highly accurate manner, a vehicle control device is installed in a vehicle. This vehicle control device is provided with a distribution calculation unit and a vehicle behavior prediction unit. The distribution calculation unit determines, on the basis of driving condition information that has been collected, probability distributions for when deceleration behavior occurs and does not occur. The vehicle behavior prediction unit determines the relative positional relationships between the driving speed and acceleration of vehicles ahead with respect to the probability distributions, and, on the basis of the relative positional relationships that have been determined, predicts the behavior of a vehicle that is subject to prediction.

Abstract: A dataset including at least one temporal event sequence is collected. A one-class sequence classifier f(x) that obtains a decision boundary is statistically learned. At least one new temporal event sequence is evaluated, wherein the at least one new temporal event sequence is outside of the dataset. It is determined whether the at least one new temporal event sequence is one of a normal sequence or an abnormal sequence based on the evaluation. Numerous additional aspects are disclosed.

Abstract: The present invention provides a system and method for providing an alert notification prior to occurrence of a consequent event. The present invention provides a decision maker with the means to reconstitute his unfiltered operational environment such that the information needed to make an informed decision is extracted from a vast array of data available and presented in a manner that allows the decision maker to focus on the aspects of the decision that are most important to arriving at the best course of action under the exigent circumstances that are present when a response to an unexpected and possibly deleterious event is required.

Abstract: Achieving orthogonal control of non-orthogonal qubit parameters of a logical qubit allows for increasing the length of a qubit chain thereby increasing the effective connectivity of the qubit chain. A hybrid qubit is formed by communicatively coupling a dedicated second qubit to a first qubit. By tuning a programmable parameter of the second qubit of a hybrid qubit, an effective programmable parameter of the hybrid qubit is adjusted without affecting another effective programmable parameter of the hybrid qubit thereby achieving orthogonal control of otherwise non-orthogonal qubit parameters. The length of the logical qubit may thus be increased by communicatively coupling a plurality of such hybrid qubits together.

Abstract: Systems, methods and aspects, and embodiments thereof relate to unsupervised or semi-supervised features learning using a quantum processor. To achieve unsupervised or semi-supervised features learning, the quantum processor is programmed to achieve Hierarchal Deep Learning (referred to as HDL) over one or more data sets. Systems and methods search for, parse, and detect maximally repeating patterns in one or more data sets or across data or data sets. Embodiments and aspects regard using sparse coding to detect maximally repeating patterns in or across data. Examples of sparse coding include L0 and L1 sparse coding. Some implementations may involve appending, incorporating or attaching labels to dictionary elements, or constituent elements of one or more dictionaries. There may be a logical association between label and the element labeled such that the process of unsupervised or semi-supervised feature learning spans both the elements and the incorporated, attached or appended label.

Abstract: A method includes receiving meteorological forecast data at an electronic device. The method includes predicting multiple risk levels associated with an aircraft using one or more runways of an airport during a forecast time interval based on the meteorological forecast data. The method further includes generating a graphical user interface (GUI) that includes multiple risk indicators based on the multiple risk levels. The multiple risk indicators may correspond to multiple time sub-intervals during the forecast time interval.

Abstract: Disclosed are various embodiments for using contrarian machine learning models to compensate for selection bias. Both a primary machine learning model and a contrarian machine learning model may be trained for selecting sets of items based at least in part on the same training data. However, the contrarian machine learning model is specially trained to avoid selecting items that are selected by the primary machine learning model. Items selected by the primary model and items selected by the contrarian model are presented to users as recommendations. Both models are updated based at least in part on user selections of items. Ultimately, the use of the contrarian model avoids causing the primary model to degenerate to picking random items due to reinforcement resulting from a bias in favor of selecting items that have been recommended.

Abstract: A method for identifying a source of a job referral, the method including identifying a URL that the job applicant uses to access a web page with functionality to enable the job applicant to apply for the first job, identifying a first job message record using the URL, obtaining an original job message record for an original job message using the first job message record, determining a first sender of the original job message from the original job message record, determining that a second job message was sent to the job applicant for a second job at the company by a second sender, wherein the second job message was sent to the job applicant before the first job message and wherein the second job message was sent to the job applicant within a look-back period, and identifying the second sender as the source of the referral for the first job.

Abstract: A method is provided for evaluating operational and financial performance for dispatchers in power grid control centers associated with utility systems. A comprehensive operating plan is provided that applies after the fact analysis for performance metrics, root-cause impacts and process re-engineering. after the fact analysis of past events and practices is performed. Actual system and resource conditions are captured. the system and resource conditions are supplied to a relational database. A scheduler engine receives the actual system and resource conditions from the relational database and processes it to calculate system performance.

Abstract: Systems and methods are provided to schedule clinical tasks involving multiple sub-tasks and multiple resources in a clinical enterprise. An example method includes identifying a slot for a task defined by a task duration and one or more resources, the task including a plurality of sub-tasks, each sub-task having a sub-task duration utilizing one or more of the one or more resources, wherein each sub-task to be performed consecutively based on resource constraints; selecting a time slot for the task based on resource availability, the plurality of sub-tasks in the task, and a duration associated with each sub-task, wherein resource availability information is obtained from a clinical information system, and wherein each resource is scheduled only for one or more sub-tasks in which the resource is involved; displaying the schedule including the task and the plurality of sub-tasks; and facilitating access to view and modify the schedule.

Abstract: A three-tier employment model provides flexibility when modeling even moderately complex relationships, such as where an employee has multiple job tasks or assignments for an employer. In such an example, a top level can store information for each employee defining the type of relationship that exists between the employee and the employer, such as where the employee works for multiple entities of the employer. A middle level can capture employment terms and conditions that are associated with the relationship(s), as well as one or many work assignments, such as salary information for each assignment. A bottom level can store the actual details of the work to be performed. A three-tier approach thus provides significant flexibility in modeling the employment of a person for an enterprise, and allows companies and enterprises to easily record the reality of their complex work relationships.

Abstract: A control panel is used to control and/or monitor an automation system. The automation system may also be used in connection with one or more enhanced services, such as a remote access service. The remote access service may allow a user to control or monitor some or all aspects of the automation system through a remote computing device. To use the remote access service, or other enhanced services, the user may register to associate the user with the control panel of the automation system. If it is determined that the user has not registered, the service provider may send a message to the control panel. The message may prompt the user to register for the enhanced service. Optionally, contact information may be requested to allow a message to be sent to a personal device of the user to facilitate registration or use of the enhanced service.

Abstract: A method, non-transitory computer readable medium, and a mobile computing device comprises obtaining one or more databases from one or more sources; identifying one or more items in the obtained one or more databases; determining a fee for the identified one or more items based on one or more fee setting parameters; and generating a work-order in real-time based on the determined fee.

Abstract: A method and system for analyzing dissimilarity among business components. Business processes are identified. Each business process includes a sequence of activities to be executed in a specified sequential order. Each activity in the sequence is assigned a sequence number and is associated with a single business component. For a first and second activity in each pair of different activities of the sequence of activities of each business process, a determination is made of a pair of a first and second business component to which the first and second business activity is respectively associated, a determination is made of a dissimilarity measure equal to a magnitude of a difference of the respective sequence numbers of the first and second business activities, and the dissimilarity measure is assigned to the pair of the first and second business component. A dissimilarity matrix including the dissimilarity measures is generated and stored.

Abstract: A portable measurement system is described herein that provides accurate real-time data for a subject object at a job site. The acquired data may include photos, laser mapping, thermal images, sonar imaging, electronic measurements, or other types of measurement data. The system leverages commonly available remote control helicopters or other flying vehicles mounted with a camera or other equipment to acquire images or other measurement data that would be difficult to obtain without climbing onto a target structure or placing personnel in other dangerous situations. A portable platform is described herein that can include helicopters as well as other types of portable measurement devices that can fly or otherwise maneuver to capture measurement data at a job site. In many cases, these connected devices can provide near instant availability of captured data to a processing center or other remote location, reducing delays that are typical today.