Abstract: Determining sensitive information and preventing the unauthorized or unintended dissemination of such information are disclosed. Terms are determined from documents associated with users in a network. Distributions among users and relative frequencies with which the terms are used are determined. Link strengths between users are calculated. Based on the distribution of the terms, the relative frequencies of use among the user profiles and link strengths between users conducting information transactions that include the terms, a sensitivity level for each term can be determined. To determine whether a particular information transaction with particular terms may be conducted between two users in the network, a combination of link strength between the users and sensitivity level of the terms with respect to the users or users' profiles are considered. If the information transaction includes terms that are unknown to one of the users, then a warning or alarm can be raised.

Abstract: Generally, this disclosure provides systems, devices, methods and computer readable media for secure memory page mapping in a virtual machine (VM) environment. The system may include a processor configured to execute a virtual machine monitor (VMM). The VMM may be configured to maintain a table of cryptographic keys and associate a token with one of the memory pages to be mapped from a guest linear address (GLA) to a guest physical address (GPA). The token may include a key identifier (key ID) associated with one of the cryptographic keys, and an authentication code based on the GLA, the GPA, and one of the cryptographic keys. The system may also include a page walk processor configured to validate the token to indicate that the memory page associated with the token is authorized to be mapped from the GLA to the GPA.

Abstract: Methods and apparatus for creating a physically unclonable function for SRAM are disclosed. An example method includes after applying a voltage to a memory array: determining a first duration between the applying of the voltage and a first output of a first bit cell, the first output corresponding to a first value stored in the first bit cell, and determining a second duration between the applying of the voltage and a second output of a second bit cell, the second output corresponding to a second value stored in the second bit cell. The example method further includes determining a function based on a comparison of the first duration and the second duration, the function to establish an identification of a circuit that includes the memory array.

Abstract: The present invention is directed to systems and methods of activating an electronic device at a point-of-sale (POS). The device may be identified by an indicia and activation may occur following purchase of the device. The method may include the steps of receiving at a central processor from the POS the indicia identifying the device purchased at the POS; enabling by the central processor a feature or functionality of the device or use of the device; and conveying to the device information material to the feature, functionality, or use. The system may include a central processor that activates the device. The central processor may include various interfaces with the POS, provider, and device, as well as a database with records related to the device and an activation processor for determining if activation is appropriate, activating the device, and sending information material to the feature, functionality, or use to the device.

Abstract: A method of detecting interference with a fraud prevention transmitter on a self-service terminal is described. The method comprises: detecting presentation of a card at a card reader; attempting to detect a customer while the card is presented; and triggering an alarm event if the customer is not detected while the card is presented on a predetermined number of occasions.

Abstract: A card that includes an electrically non-conductive substrate and a plurality of conductive points disposed on a bottom surface of the non-conductive substrate. The conductive points are connected with a coupling point disposed on a top surface of the substrate through vias that extend through the substrate. The conductive points form a pattern that represents an identification of the card and activate locations on a touchscreen of an electronic device. At least three of the conductive points form a predetermined shape such that the electronic device determines a location and an orientation of the card when the card is placed on the touchscreen of the electronic device.

Abstract: Methods, systems, apparatus, and articles of manufacture are disclosed to improve radio frequency identification (RFID) tag communication. An example disclosed apparatus includes an RFID reader monitor to activate a first RFID reader and deactivate a second RFID reader during a first tag data acquisition at a first time, and deactivate the first RFID reader and activate the second RFID reader during a second tag data acquisition at a second time, a tag logger to identify a first set of RFID tags detected by the first RFID reader at the first time, and identify a second set of RFID tags detected by the second RFID reader at the second time, and a group generator to improve RFID tag communication by identifying which one of the first RFID reader and the second RFID reader communicates with a common RFID tag.

Abstract: A tag writer, reader and method are disclosed. The tag writer is operable to generate a security identifier during writing of data to the tag, the security identifier being dependent on one or more of the data written, data already on the tag, metadata associated with the data, the tag and/or the writing of the data.

Abstract: An RFID receiver (1) comprises an antenna (11) configured to receive a radio signal (20) from an RFID transmitter (2) and to generate an electrical signal (110) from the radio signal (20) received from the RFID transmitter (2). A decoder circuit (10) is connected to the antenna (11) and configured to extract from the electrical signal (110) generated by the antenna (11) data bits encoded in the electrical signal (110). The decoder circuit (10) comprises an analog-to-digital converter (12) connected directly to the antenna (11) and configured to generate a digital input signal (13) from the electrical signal (110) generated by the antenna (11). A bit extractor (14) is connected to the analog-to-digital converter (12) and configured to extract the data bits from the digital input (13) signal generated by the analog-to-digital converter (12).

Abstract: An object locating, identifying, tracking, and surveillance system, denoted the Assets Locating, Tracking, and Surveillance System (ALTSS), is provided for managing physical objects and evidence in environments such as police departments, law offices, and the Courts. ALTSS employs radio frequency identification (RFID) technology, computer programming and database applications, networking technologies, and hardware elements. ALTSS may locate and track physical evidence, merchandise, information carriers like files, folders or individual pieces of paper, and people, under certain conditions, in near-real time. It may be configured as part of a local area network, a wide area network, or the Internet. ALTSS may employ exemplary components such as RFID transponders, scanners, strategically located antennas and computers to facilitate tracking of objects and people as needed.

Abstract: A system and method for marking components of an assembly and/or portions of an assembly including at least one of the components with a plurality of markers, each component and/or portion including its own marker or markers, to be read in an operational sequence so as to generate at least one identifier representative of a characteristic and/or feature of the assembly. Any marker can be a certain type of marker, the combination of which can be used to generate an identifier. A certain type of marker 1 need not be dedicated to a certain component. Each marker can be associated with a proxy value, which can be obtained by reading the marker with a reader. An identifier of the assembly can then be generated by employing a predetermined sequence of reading the markers.

Abstract: A system and method for providing visual feedback to facilitate multi-code (e.g., barcode) reading (i.e., scanning) is presented. The visual feedback will project a read status for each code scanned. The visual feedback for a particular code will be projected onto that code. For example, an “X” projected onto a code would indicated that this code was not read and needed to be scanned again. This visual feedback minimizes the number of codes that need to be rescanned in the case of a read error.

Abstract: A multi-mode ring scanner (MMRS) has a ring unit for wearing on a finger. The MMRS optionally has a wrist unit coupled to the ring unit, such as via a cable. The MMRS optionally communicates wirelessly with a computing device. The ring unit has one or more scanners (such as an optical scanner or an RFID tag reader). The ring unit optionally has two paddle switches for activation by inward pressure from fingers adjacent to the finger. The two switches enable specifying operation of the MMRS in a plurality of modes and/or to communicate a plurality of information codes to the computing device. The computing device is optionally enabled to assign a function to each combination of activation of the two switches. A scanning system including the MMRS optionally provides feedback to a user based on feedback from a host processor.

Abstract: A portable scanner with improved user feedback provides scan data to a networked computing node via a wireless interface and the Internet. The portable scanner receives user feedback information from the networked computing node via the wireless interface and the Internet. The user feedback information indicates successful entry of the scan data into a database, or alternatively successful receipt of the scan data by the networked computing node. The portable scanner sets a scan status indicator to a final state in response to the user feedback information. Optionally, the database is a remote database that a local database is synchronized with, and/or the database is associated with the networked computing node. Optionally the portable scanner is wearable. Optionally the portable scanner is compatible with barcode and/or RFID technologies.

Abstract: An apparatus and a method for providing a control function using a fingerprint sensor in an electronic device are provided. The method includes collecting information based on occurrence of an event, detecting a touch input on a fingerprint sensor, and performing a control function for the information based on the touch input on the fingerprint sensor.

Abstract: Disclosed is a fingerprint identification sensor, which comprises: a sensor unit, comprising a capacitor array formed by a plurality of capacitor induction units and having an output, a power supply and a sensor ground output; a conversion circuit, connected to the device ground of the terminal device, and the output and the sensor ground of the sensor unit, and configured to, upon modulating the driving signal to the modulated signal, output the modulated signal to the sensor ground; an energy storage capacitor, connected between the power supply and the sensor ground, and configured to stabilize an operating voltage of the sensor unit; a high-speed transistor switch, connected to the power supply, and configured to perform synchronous switch-on and switch-off according to status of the conversion circuit power supply; and a power supply, connected to the conversion circuit and the power supply of the sensor unit via the high-speed transistor switch.

Abstract: Various embodiments herein each include at least one of systems, methods, and software for feature flow for video recognition. Such embodiments generally include a fast and accurate framework for video recognition. One example method includes receiving a first frame captured by an imaging device and designating the first frame as a key frame. The method may then generate at least one feature map to identify features in the key frame and subsequently receive a second frame. The method also includes designating the second frame as a current frame and applying a flow estimation algorithm to the key frame and current frame to generate a flow field representing a flow from the key frame to the current frame. The method then propagates each of the at least one feature maps based on the flow field to approximate current locations of features identified within each of the at least one feature maps.

Abstract: Devices, methods, and systems for occupancy detection are described herein. One device includes instructions to receive an image of a portion of a facility captured by an imaging device, the image defined by a field of view, and set a first occupancy detection threshold for a first part of the field of view and a second occupancy detection threshold for a second part of the field of view.

Abstract: A method comprises receiving from a first data source first recognition results which are associated with the first data source, and receiving from a second data source second recognition results which are associated with the second data source. The method further comprises, processing a first set of confidence levels associated with the first recognition results to provide a first set of normalized confidence levels associated with the first data source, and processing a second set of confidence levels associated with the second recognition results to provide a second set of normalized confidence levels associated with the second data source. The method also comprises storing the first set of normalized confidence levels associated with the first data source in a first table of normalized confidence levels and the second set of normalized confidence levels associated with the second data source in a second table of normalized confidence levels.

Abstract: Techniques and systems are provided for processing video data. For example, techniques and systems are provided for performing content-adaptive blob filtering. A number of blobs generated for a video frame is determined. A size of a first blob from the blobs is determined, the first blob including pixels of at least a portion of a first foreground object in the video frame. The first blob is filtered from the plurality of blobs when the size of the first blob is less than a size threshold. The size threshold is determined based on the number of the plurality of blobs generated for the video frame.

Abstract: An optical system for an image acquisition device comprises a filter comprising a central aperture arranged to transmit both visible and selected near infra-red (NIR) wavelengths and a peripheral aperture arranged to block visible wavelengths and to transmit the NIR wavelengths. An image sensor comprises an array of pixels including pixels sensitive to visible wavelengths and corresponding pixels sensitive to the NIR wavelengths. A lens assembly is axially located between the filter and the image sensor and comprises a plurality of lens elements. The lens elements are arranged to simultaneously focus NIR light received from a given object through central and peripheral apertures of the filter and visible light received from the object through the central aperture onto the sensor surface.

Abstract: Systems, apparatuses, and methods may provide for technology to dynamically control a display in response to ocular characteristic measurements of at least one eye of a user.

Abstract: When a plurality of candidate corneal reflections are extracted from an image of a person, a line-of-sight detection device calculates a movement vector of a reflection location on the basis of the candidate corneal reflection extracted from a first image and a second image, calculates a movement vector of a reference point on the person on the basis of the reference point extracted from the first image and the second image, identifies a corneal reflection from among the plurality of candidate corneal reflections on the basis of the movement vector of the reflection location and the movement vector of the reference point so as to identify a location of the corneal reflection, and extracts a location of a pupil from the image, and calculates a line of sight of the person on the basis of the identified location of the corneal reflection and the extracted location of the pupil.

Abstract: Arrangements are detailed to process imagery of an object, captured by a camera, based on contextual data that at least partially characterizes a condition of the object when the imagery was captured. Contextual data can be obtained directly by a sensor or can be derived by pre-processing the captured imagery. The captured imagery can be processed to detect features such as digital watermarks, fingerprints, barcodes, etc. A great number of other features and arrangements are also detailed.

Abstract: Methods, apparatuses, computer program products, and systems are provided for training a network to act as an overhanging structure detector using an unsupervised machine learning technique. An image is received that was captured by an image capturing device in communication with a probe apparatus on board a vehicle, wherein the image comprises at least a portion of a roadway. A sky projection is generated based on at least a portion of the image. It is determined whether the sky projection comprises a feature that defines a feature direction that is substantially non-vertical. Responsive to determining that the sky projection does comprise a feature that defines a feature direction that is substantially non-vertical, it is determined that the image comprises an overhanging structure.

Abstract: A computer system, method, and computer readable product are provided for setting a personal status using augmented reality. In various embodiments, an augmented-reality computing device captures an image of a physical scene, which includes a person. The computing device then identifies the person, and accesses a personal status for that person. The computing device generates and displays an augmented reality image that displays the personal status in proximity to the person in the scene.

Abstract: A method of segmenting a video sequence. A segment score is determined for each of a plurality of fixed length segments of the video sequence. Each of the segment scores provide a score for a plurality of actions associated with a corresponding fixed length segment. A current segment is selected from the segments of the video sequence. The segment score is selected for a further one of the segments, the further segment being disjoint with the current segment and being used to provide information about actions that were classified outside the current segment. A further segment score is determined for the current segment according to the selected segment score. The video is segmented based on the determined further segment score.

Abstract: An in-vehicle system for identifying exit-only lanes and shared exit lanes on a roadway having a first camera for obtaining image data regarding lane markings on the roadway, a second camera for obtaining image data regarding exit signs, a lane marking detection module for detecting lane markings on the roadway, an exit sign detection module for detecting exit signs, and an exit sign analyzer for detecting arrows on the detected exit signs. The in-vehicle system categorizes detected lane markings as one of standard frequency dashed lane markings, high frequency dashed lane markings, and solid lane markings, and identifies an exit-only lane and a shared exit lane in response to the categorizations of the detected lane markings and characteristics of the detected arrows.

Abstract: Disclosed herein are a method and a system for identifying a vacant parking space in a parking lot. The method includes receiving, by a parking space identifier, at least one image frame from an imaging device. The method includes determining one or more bounding boxes indicative of one or more vehicles in the at least one image frame and executing vehicle classification on the detected one or more bounding boxes in the at least one image frame to determine at least one first dimension corresponding to each of the one or more vehicles in the portion of the parking lot. Further the method includes comparing at least one second dimension of space in between pairs of non-overlapping bounding boxes and a predefined threshold corresponding to the vehicle classification and determining the vacant parking space associated with the vehicle classification based on the at least one first dimension and the comparison.

Abstract: According to the present invention, a system for verifying a lamp operation includes: a camera for acquiring an image around the vehicle; and an image processor for determining whether the lamp is broken based on the image acquired by the camera, in which the image processor receives a turn on state of the lamp through internal communication of the vehicle connected to the lamp and is operated in synchronization with timing at which the lamp is turned on and the image processor determines whether the lamp is broken by comparing images before and after the lamp is turned on if it is determined that the lamp is turned on.

Abstract: A portable computing device equipped with an image capture device captures an image of a vehicle dashboard of a vehicle. Then, the portable computing device identifies the location of one or more components of the vehicle dashboard in the captured image. Based on the location of the one or more components, the portable computing device segments the captured image to obtain an image of each of the one or more components. Further, the portable computing device processes the images of the one or more components using one or more machine learning models to determine a reading associated with each of the one or more components. An accuracy of the readings is verified and responsively, the portable computing device inputs the readings in respective data fields of an electronic form. The readings associated with the one or more components of the vehicle dashboard represent data associated with the vehicle.

Abstract: A method for detecting driving behavior and a system using the same is disclosed. Firstly, at least one user image comprising an arm image and a head behavior image is retrieved. Then, a processor retrieves the arm image to compare with arm sample images stored in a database. The arm image corresponds to the arm sample image to determine a normal driving behavior. The arm image does not correspond to the arm sample image to determine an abnormal driving behavior, whereby the processor retrieves the head behavior image to compare with head regulation-violating sample images stored in the database. The head behavior image does not correspond to the head regulation-violating sample image to determine a normal driving behavior. The head behavior image corresponds to the head regulation-violating sample image to determine an abnormal driving behavior and output a second-level warning signal, thereby warning a driver.

Abstract: In one embodiment, L dimensional images are trained, mapped, and aligned to an M dimensional topology to obtain azimuthal angles. The aligned L dimensional images are then trained and mapped to an N dimensional topology to obtain 2N vertex classifications. The azimuthal angles and the 2N vertex classifications are used to map L dimensional images into O dimensional images.

Abstract: The present application discloses a vehicle searching method and device, which can perform the steps of: calculating an appearance similarity distance between a first image of a target vehicle and several second images containing the searched vehicle; selecting several images from the several second images as several third images; obtaining corresponding license plate features of license plate areas in the first image and each of the third images with a preset Siamese neural network model; calculating a license plate feature similarity distance between the first image and each of the third images according to license plate feature; calculating a visual similarity distance between the first image and each of the third images according to the appearance similarity distance and the license plate feature similarity distance; obtaining a the first search result of the target vehicle by arranging the several third images in an ascending order of the visual similarity distances.

Abstract: There is provided a method and an apparatus for updating a background model used for background subtraction of an image. The method comprises: receiving an image (220), and classifying a region (226) in the image as foreground by performing background subtraction using a background model (240). The background model comprises a collection of background samples (248, 248b, 248c, 248d) for each pixel (228) in the image. The collection of background samples is arranged in a list of background images (242a, 242b, 242c, 242d). The method further comprises: replacing image contents in the region (226) of the image which is classified as foreground by image contents of a corresponding region (246) in a background image in the list, and adding the image to the list of background images by rearranging a collection of pointers (244a, 244b, 244c, 244d) which each points to one of the background images in the list, such that one of the pointers instead points to the image.

Abstract: A method for identifying keypoints in a digital image including a set of pixels. Each pixel has associated thereto a respective value of an image representative parameter. The method includes approximating a filtered image. The filtered image depends on a filtering parameter and includes for each pixel of the image a filtering function that depends on the filtering parameter to calculate a filtered value of the value of the representative parameter of the pixel. The approximating includes: a) generating a set of base filtered images; each base filtered image is the image filtered with a respective value of the filtering parameter; b) for each pixel of at least a subset of the set of pixels, approximating the filtering function by a respective approximation function based on the base filtered images; the approximation function is a function of the filtering parameter within a predefined range of the filtering parameter.

Abstract: Comparing extracted card data from a continuous scan comprises receiving, by one or more computing devices, a digital scan of a card; obtaining a plurality of images of the card from the digital scan of the physical card; performing an optical character recognition algorithm on each of the plurality of images; comparing results of the application of the optical character recognition algorithm for each of the plurality of images; determining if a configured threshold of the results for each of the plurality of images match each other; and verifying the results when the results for each of the plurality of images match each other. Threshold confidence level for the extracted card data can be employed to determine the accuracy of the extraction. Data is further extracted from blended images and three-dimensional models of the card. Embossed text and holograms in the images may be used to prevent fraud.

Abstract: There is disclosed a method of determining a document type associated with a digital document, the method executable by an electronic device. A processor of the electronic device is configured to execute a plurality of machine learning algorithm (MLA) classifiers, each of the plurality of MLA classifiers having been trained to identify a specific document type. The plurality of MLA classifiers is ranked in a hierarchical order of execution of the plurality of MLA classifiers. A method of training the plurality of MLA classifiers is also disclosed.

Abstract: A system for detecting an animal in a vicinity of a vehicle is disclosed. The system includes at least one processor programmed to receive, from an image capture device, at least one image of the vicinity of the vehicle; analyze the at least one image using a truncated animal appearance template to detect visual information suspected to be associated with an animal, wherein the truncated animal appearance template corresponds to a portion of a body and one or more limbs of a suspected animal; and initiate a vehicle response based on the detected visual information of the suspected animal in the at least one image.

Abstract: A trademark retrieval method, comprising: establishing a sample trademark library and establishing a correlation between sample trademarks and division data for figurative element codes of known pending or registered figurative trademarks; extracting and processing image feature information about the sample trademarks, and establishing a correlation between the sample trademarks and the extracted image feature information; extracting image feature information about a trademark to be retrieved; carrying out matching retrieval by taking the image feature information as a retrieval condition, and finding out a sample trademark reaching a pre-determined similarity degree, and a sample trademark with the highest similarity degree and a corresponding figurative element code; acquiring and confirming a figurative element code of the trademark to be retrieved; taking the figurative element code as a retrieval condition to carry out matching retrieval, and finding out a matching sample trademark; collecting a result r

Abstract: A medical image processing apparatus according to an embodiment includes acquisition circuitry, extraction circuitry, calculation circuitry, and determination circuitry. The acquisition circuitry configured to acquire a first photographic image and a second photographic image that contain tree structures of a subject. The extraction circuitry configured to extract branch points of each of the tree structures in the first photographic image and the second photographic image. The calculation circuitry configured to calculate the similarities between the branch points in the first photographic image and the branch points in the second photographic image based on the feature quantities of the branch points. The determination circuitry configured to determine the corresponding path between the branch points in the first photographic image and the branch points in the second photographic image based on the similarities between the branch points calculated by the calculation circuitry.

Abstract: A determination is made that an instruction has to be sent for processing in the IoT environment. A set of devices is located in the IoT environment. The set of devices includes the device and each device in the set of devices can execute the instruction for a similar outcome. For each device in a subset of the set of devices, a set of factors is collected, including an image of a portion of each device. For the device, a first weight is assigned to a feature of the device extracted from an image of a portion of the device, and a second weight is assigned to a feature of another device extracted from another image of a portion of the other device. When the first weight is greater than the second weight, the device is selected from the subset as a target for sending the instruction.

Abstract: Examples relate to providing spatial analysis using attribute graphs. In one examples, there are a number of spatial points that each represent characteristics in a dimensional space. Non-data points are generated in the dimensional space, and a Delaunay triangulation is performed using the spatial points and the non-data points to generate a plurality of edges, where interior points of the plurality of non-data points that are in an interior space of the plurality of spatial points are excluded from the Delaunay triangulation. Next, spatial edges from the plurality of edges that each connect a spatial point that is connected to a first mixed edge to another spatial point that is connected to a second mixed edge are identified, where the spatial edges are used to generate a robust contour of a cluster of the spatial points.

Abstract: Methods and systems for creating an image-based measurement model based only on measured, image-based training data are presented. The trained, image-based measurement model is then used to calculate values of one or more parameters of interest directly from measured image data collected from other wafers. The image-based measurement models receive image data directly as input and provide values of parameters of interest as output. In some embodiments, the image-based measurement model enables the direct measurement of overlay error. In some embodiments, overlay error is determined from images of on-device structures. In some other embodiments, overlay error is determined from images of specialized target structures. In some embodiments, image data from multiple targets, image data collected by multiple metrologies, or both, is used for model building, training, and measurement. In some embodiments, an optimization algorithm automates the image-based measurement model building and training process.

Abstract: Systems and methods are disclosed herein for automatically identifying a query object within a visual medium. The technique generally involves receiving as input to a neural network a query object and a visual medium including the query object. The technique also involves generating, by the neural network, representations of the query object and the visual medium defining features of the query object and the visual medium. The technique also involves generating, by the neural network, a heat map using the representations. The heat map identifies a location of pixels corresponding to the query object within the visual medium and is usable to generate an updated visual medium highlighting the query object.

Abstract: Systems and methods for providing remote approval of an image for printing are provided. One system includes a processing circuit in communication with an image capturing device that is configured to capture an image of a printed product. The processing circuit is configured to process the captured image into a processed image accurate to within a tolerance in a color space to indicate the visual appearance of one or more colors. The color space is a standardized color space, such as sRGB or CIELAB. The processing circuit is further configured to transmit the processed image to a display located remote from the image capturing device and to receive an input signal from a remote input device to allow a user to approve or reject the displayed processed image for printing on a print device.

Abstract: An image processing device performs: breaking down a drawing command into horizontal line parameters each indicating a drawing parameter on a line-by-line basis; and reading, from a translucent image storage unit configured to store a translucent image including a translucency value indicating a transmission rate of a color value corresponding to pixel for each of a plurality of pixels, the translucency values of pixels corresponding to the horizontal line parameter, and writing color values designated by the horizontal line parameter directly into a color image storage unit configured to store a color image including a color value for each of a plurality of pixels as the color values of the respective pixels corresponding to the horizontal line parameter without reading the color values of the pixels corresponding to the horizontal line parameter from the color image storage unit, when all of the read translucency values indicate transparent.

Abstract: A printing system includes a printer and an information processing device that includes a processor and a memory storing processor-executable instructions, the instructions being configured to, when executed by the processor, cause the processor to, when there is not information stored in a queue area of the memory, determine to instruct the printer to start a pre-printing operation based on preparation instruction information. When there is information stored in the queue area, determine not to instruct the printer to start the pre-printing operation. In response to determining to instruct the printer to start the pre-printing operation, store the preparation instruction information into the queue area, and in response to determining to instruct the printer to start the pre-printing operation and storing the preparation instruction information into the queue area, generate print data based on specified contents data, and store print instruction information into the queue area.

Abstract: An object of the present invention is to make it possible for a user to correctly exchange color material containers of a printing apparatus. The printing apparatus of the present invention is a printing apparatus to which a plurality of user-exchangeable color material containers is attached, and which includes a display unit configured to display a user interface screen having an operation guide display area in which contents explaining a color material container exchange procedure are displayed and an icon display area in which an icon indicating a color material container to be exchanged is displayed.

Abstract: A smart card read/write method is performed at a terminal, including: sensing a touch event of a smart card, and obtaining an application identifier corresponding to the touch event; searching for a third-party application link corresponding to the application identifier, and capturing and displaying a web page corresponding to the third-party application link, the web page comprising a function menu and an instruction script corresponding to options in the function menu being preselected from a preset standard script library; obtaining an option triggered in the function menu on the web page, and sending a smart card control request to a platform application server by executing an instruction script corresponding to the triggered option; and receiving a smart card control instruction returned by the platform application server, and invoking a corresponding interface function according to the smart card control instruction to read/write the smart card.