Abstract: A camera control system is provided for controlling operation of a camera mounted on a vehicle. The system includes a processor and a memory communicably coupled to the processor. The memory stores a camera control module configured to compare a recognition confidence level associated with a feature to a predetermined threshold and, responsive to the recognition confidence level being below the predetermined threshold and using location information associated with the feature, control operation of the camera to capture at least one image of the feature during movement of the vehicle.

Abstract: An obstacle detection device includes a stereo camera that captures IR images on the right side and left side; a point cloud data creation unit that creates point cloud data having three-dimensional position information from the IR images captured by the stereo camera; an obstacle detection unit that detects an obstacle according to point cloud data; an invalid area identification unit that identifies whether an invalid area with no point cloud is present in point cloud data; and a target recognition unit that recognizes a particular target in the invalid area with no point cloud according to an IR image. When a particular target is recognized by the target recognition unit, the obstacle detection unit does not determine the invalid area with no point cloud to be an obstacle.

Abstract: Detection of three dimensional obstacles using a system mountable in a host vehicle including a camera connectible to a processor. Multiple image frames are captured in the field of view of the camera. In the image frames, an imaged feature is detected of an object in the environment of the vehicle. The image frames are portioned locally around the imaged feature to produce imaged portions of the image frames including the imaged feature. The image frames are processed to compute a depth map locally around the detected imaged feature in the image portions. Responsive to the depth map, it is determined if the object is an obstacle to the motion of the vehicle.

Abstract: A system for automatically generating a video of a trip includes at least two vehicles, each vehicle having at least one sensor configured to continuously detect technical driving parameters of the vehicle, and at least one video camera configured to continuously record video sequences of a pre-definable length. The system also includes at least one computing unit which is configured to process the video sequences with reference to the technical driving parameters, to mark each of the processed video sequences according to pre-definable criteria, and to automatically generate a video on the basis of the markings.

Abstract: A vehicular control system includes a central control module vehicle, a plurality of vehicular cameras disposed at a vehicle and viewing exterior of the vehicle, and a plurality of radar sensors disposed at the vehicle and sensing exterior of the vehicle. The central control module receives vehicle data relating to operation of the vehicle. The central control module is operable to process (i) vehicle data, (ii) image data and (iii) radar data. The central control module at least in part controls at least one driver assistance system of the vehicle responsive to (i) processing at the central control module of vehicle data, (ii) processing at the central control module of image data captured by at least the forward-viewing vehicular camera and (iii) processing at the central control module of radar data captured by at least a front radar sensor.

Abstract: A vehicle includes one or more cameras that capture a plurality of two-dimensional images of a three-dimensional object. A light detector and/or a semantic classifier search within those images for lights of the three-dimensional object. A vehicle signal detection module fuses information from the light detector and/or the semantic classifier to produce a semantic meaning for the lights. The vehicle can be controlled based on the semantic meaning. Further, the vehicle can include a depth sensor and an object projector. The object projector can determine regions of interest within the two-dimensional images, based on the depth sensor. The light detector and/or the semantic classifier can use these regions of interest to efficiently perform the search for the lights.

Abstract: Techniques including receiving a distorted image from a camera disposed about a vehicle, detecting, in the distorted image, corner points associated with a target object, mapping the corner points to a distortion corrected domain based on one or more camera parameters, mapping the corner points and lines between the corner points back to a distorted domain based on the camera parameters, interpolating one or more intermediate points to generate lines between the corner points in the distortion corrected domain mapping the corner points and the lines between the corner points back to a distorted domain based on the camera parameters, and adjusting a direction of travel of the vehicle based on the located target object.

Abstract: In one aspect, the present disclosure is directed at a computer implemented method for determining a drivable area in front of a host vehicle. According to the method, a region of interest is monitored in front of the host vehicle by at least two sensors of a detection system of the host vehicle. The region of interest is divided into a plurality of areas via a computer system of the host vehicle, and each area of the plurality of areas is classified as drivable area, non-drivable area or unknown area via the computer system based on fused data received by the at least two sensors.

Abstract: Determining head orientation and/or position of a vehicle occupant includes determining a first detection range for head orientations and/or positions of a first imagining sensor located in the vehicle interior based on various head orientations and/or positions in relation to the location of the first sensor, determining the second detection range of the second imaging sensor for head orientations and/or positions based on various head orientations and/or positions in relation to the position of the second sensor, and, based on the head orientation and/or position of the vehicle occupant, determining the head orientation and/or position with that sensor that has a detection range in which the head orientation and/or position can be better determined than in the detection range of another sensor.

Abstract: A head-mounted display, a display control method, and a program that facilitate a user to understand proximity between the user and an object around the user are provided. A display block (36) is arranged in front of the eyes of the user wearing a HMD (12). In accordance with proximity between the user and an object around the user, the HMD (12) controls the display block (36) so as to have the user visually recognize a forward direction of the display block (36).

Abstract: A method, computer system and computer-readable medium for determining a surface pattern for a target object using an evolutionary algorithm such as a genetic algorithm, a parameterized texture-generating function, a 3D renderer for rendering images of a 3D model of the target object with a texture obtained from the parameterized texture generating function, and an object recognition model to process the images and predict whether or not the image contains an object of the target object's type or category. Sets of parameters are generated using the evolutionary algorithm and the accuracy of the object recognition model's prediction of the images with the 3D model textured according to each set of parameters is used to determine a fitness score, by which sets of parameters are scored for the purpose of obtaining future further generations of sets of parameters, such as by genetic algorithm operations such as mutation and crossover operations.

Abstract: There is provided an information processing apparatus for automatically generating information representing a context surrounding a user, the information processing apparatus including a recognition processing unit configured to perform, on the basis of user environment information including at least any of location information representing a location where a user is present, image information relating to an environment surrounding a user, and audio information relating to the environment, an analysis process of at least any of the location information, the image information, and the audio information included in the user environment information, at a predetermined time interval, and to recognize a context surrounding the user, using the acquired result of analysis relating to the user environment; and a context candidate information generating unit configured to generate context candidate information representing a candidate of the context surrounding the user, the context candidate information including, at

Abstract: Methods and apparatus for end-to-end document image quality assessment without having ground truth for characters. An image quality assessment device integrates end-to-end machine learning without using ground truth to automatically predict an overall quality scores for images of documents. The image quality assessment device augments the size of individual image patches extracted from the images based on the contents and size of the images to maintain sufficient size of training data without compromising the reliability of the predicted scores for the images.

Abstract: Provided is an information processing apparatus that applies correction using a character recognition error pattern to a character recognition result of a document image, wherein the character recognition error pattern includes error pattern information on a character recognition result of a part where an error occurs in character recognition, correct pattern information applicable to the part where the error occurs, information on a frequency that the error occurs, and information on a state where the error occurs, and wherein the character recognition error pattern to be used in the correction is narrowed down based on the information on the frequency that the error occurs and the information on the state where the error occurs.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer readable media for generating and providing matching fonts by utilizing a glyph-based machine learning model. For example, the disclosed systems can generate a glyph image by arranging glyphs from a digital document according to an ordering rule. The disclosed systems can further identify target fonts as fonts that include the glyphs within the glyph image. The disclosed systems can further generate target glyph images by arranging glyphs of the target fonts according to the ordering rule. Based on the glyph image and the target glyph images, the disclosed systems can utilize a glyph-based machine learning model to generate and compare glyph image feature vectors. By comparing a glyph image feature vector with a target glyph image feature vector, the font matching system can identify one or more matching glyphs.

Abstract: Aspects of the disclosure relate to OCR. A computing platform may train, using historical images, a CNN and a RNN to perform OCR/identify characters in context. The computing platform may receive an image of a document, and may input the image into the CNN, which may cause the CNN to output OCR information for the image and a confidence score. Based on identifying that the confidence score exceeds a confidence threshold, the computing platform may store the OCR information to enable subsequent access of a digital version of the document. Based on identifying that the confidence score does not exceed the confidence threshold, the computing platform may: 1) input the OCR information into the first RNN, which may cause the first RNN to output contextual OCR information for the image, and 2) store the contextual OCR information to enable subsequent access of the digital version of the document.

Abstract: A method and system are used for managing and classifying electronic document images. Each of the electronic document images is divided into an array of image segments. The method extracts image features from each of the image segments to obtain numerical coefficients for each of the image segments. The numerical coefficients are compared with each other to generate sub-codes. A classification code is determined as a combination of the sub-codes. The classification codes of a plurality of electronic document images can be stored in a database for further analysis. Based on the classification codes, similarity rates between at two document images can be determined.

Abstract: A device receives a transaction request concerning a transaction and a transaction card from a transaction terminal, and determines, based on the transaction request, information concerning the transaction card. The device sends, based on the transaction request and to a user device, a query concerning possession of the transaction card by a user of the user device, where the query includes an instruction for the user to confirm possession of the transaction card via a component of the user device. The device receives, from the user device and after sending the query to the user device, a response concerning possession of the transaction card by the user, and determines, based on the response and the information concerning the transaction card, whether the user has possession of the transaction card. The device performs, based on determining whether the user has possession of the transaction card, at least one action.

Abstract: Described herein are various technologies pertaining to text extraction from a document. A computing device receives the document. The document comprises computer-readable text and a layout, wherein the layout defines positions of the computer-readable text within a two-dimensional area represented by the document. Responsive to receiving the document, the computing device identifies at least one textual element in the computer-readable text based upon spatial factors between portions of the computer-readable text and contextual relationships between the portions of the computer-readable text. The computing device then outputs the at least one textual element.

Abstract: A method of blank detection involves receiving a document from a user, where the document includes derived text; applying a trained blank detection model to the document to make a first prediction, where the first prediction indicates whether at least one field in the document is blank; comparing the first prediction with a second prediction, where the second prediction is made by an extraction model; and extracting the at least one field using the extraction model.

Abstract: The method, system, and non-transitory computer-readable medium embodiments described herein are directed to verifying identification documents. In various embodiments, a server may receive a first image of a front-side of an identification document. The server may extract a first feature of the front-side of the identification document from the first image using optical character recognition (OCR) and identify a first environmental feature from the first image. The server may receive a second image of a backside of the identification document and identify a second feature of the backside of the identification document from the second image. The server may also identify a second environmental feature from the second image. The server may verify the identification document by confirming that the first feature matches the second feature and the first environmental feature matches the second environmental feature.

Abstract: Methods, apparatus, systems and articles of manufacture are disclosed. An example apparatus includes an audio detector to determine a first audience count based on signatures of audio data captured in the media environment, a thermal image detector to determine a heat blob count based on a frame of thermal image data captured in the media environment, and an audience image detector to identify at least one audience member based on a comparison of a frame of audience image data with a library of reference audience images, the audience image detector to perform the comparison in response to the first audience count not matching the heat blob count.

Abstract: An image processing device includes a camera interface connectable to a camera configured to capture a video of a worker in a work area, an output interface connectable to a display device that is viewable from the work area, a memory that stores task information about a task to be performed by the worker, and a processor configured to determine a position and a posture of the worker in the work area based on the captured video, determine whether the worker has performed the task properly based on the task information stored in the memory and the determined position and posture of the worker, upon determining that the worker has not performed the task properly, extract from the video a first part showing the task that has been performed by the worker, and control the output interface to output the first part to the display device.

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 driver integrated circuit for fingerprint sensing, touch sensing and display driving and a driving method thereof are provided. The driver integrated circuit is adapted for driving a touch display panel with a fingerprint sensor. The driver integrated circuit includes a fingerprint sensing control circuit, a display driving circuit, and a display driving circuit. The fingerprint sensing control circuit drives the fingerprint sensor to perform a fingerprint sensing operation. The display driving circuit drives the touch display panel to perform a display operation. The touch sensing control circuit drives the touch display panel to perform a touch operation. The fingerprint sensing control circuit and the display driving circuit have a first direct communication therebetween so as to facilitate at least one of the fingerprint sensing operation and the display operation.

Abstract: A system may be configured to reliably identify, track, and collect data on a person of interest. In some aspects, the system may detect a facial representation within an image, generate a bounding box corresponding to the facial representation, determine an enhanced facial representation based at least in part on the bounding box and an image enhancement pipeline, and extract a plurality of facial features from the enhanced facial representation. Further, the system may determine quality information based on the plurality of facial features, determine that the quality information is greater than a threshold, and store the plurality of facial features in a data structure. In some aspects, the facial features may be used to identify red shoppers and green shoppers in a controlled environment.

Abstract: An image capturing support apparatus 1 includes: a detection unit 2 configured to detect facial images that have facial areas corresponding to a face, from a plurality of captured images, respectively; a determination unit 3 configured to determine whether or not the amount of light is insufficient for the detected facial images, using the detected facial images; and a superimposition unit 4 configured to, when the amount of light is insufficient, adjust the size of each of the facial images, and superimpose the facial areas of the adjusted facial images on each other.

Abstract: An image processing device according to one aspect of the present disclosure includes: at least one memory storing a set of instructions; and at least one processor configured to execute the set of instructions to: receive a visible image of a face; receive a near-infrared image of the face; adjust brightness of the visible image based on a frequency distribution of pixel values of the visible image and a frequency distribution of pixel values of the near-infrared image; specify a relative position at which the visible image is related to the near-infrared image; invert adjusted brightness of the visible image; detect a region of a pupil from a synthetic image obtained by adding up the visible image the brightness of which is inverted and the near-infrared image based on the relative position; and output information on the detected pupil.

Abstract: A face recognition method includes: extracting a first identity feature of a first face image by using a feature extraction module, and extracting a second identity feature of a second face image by using the feature extraction module, wherein the feature extraction module is implemented by using a neural network, and pre-trained in a manner such that a correlation coefficient of training batch data is obtained based on an identity feature and an age feature of a sample face image in the training batch data, and decorrelated training of the identity feature and the age feature is performed on the feature extraction module based on the correlation coefficient; and performing a face recognition based on determining a similarity between faces in the first face image and the second face image according to the first identity feature and the second identity feature.

Abstract: A non-transitory computer-readable medium including a face authentication program for causing a computer device that executes face authentication using a plurality of face information registered in a storage unit with respect to a captured face image of a user to implement the following functions including a determination function of determining face information to be used for the face authentication from among the plurality of face information based on position estimation information of a user corresponding to each of the plurality of face information, which is registered in the storage unit in association with each of the plurality of face information, and a predetermined condition, and an authentication function of performing the face authentication using the determined face information with respect to the captured face image of the user.

Abstract: Examples described herein generally relate to processing a first image captured by the first camera at a first time to determine a first set of multiple key points of a face in the first image, processing a second image captured by the second camera at a second time, that is equal to or within a threshold time of the first time, to determine a second set of the multiple key points on the face in the second image, determining a location of at least a portion of the multiple key points in a three-dimensional space based on a first location of each of the portion of the multiple key points in the first image and a second location of each of the portion of the multiple key points in the second image, and detecting whether the face is a valid three-dimensional face for facial recognition based at least in part on the location of at least the portion of the multiple key points in the three-dimensional space.

Abstract: Certain aspects provide a method of generating a physical activity model, including: receiving, via a motion capture device, motion data corresponding to a plurality of key states associated with a physical activity sequence; for each respective key state in the plurality of key states: determining a plurality of joint positions associated with the respective key state; determining a plurality of body segment positions associated with the respective key state based on the plurality of joint positions; determining a plurality of inter-state differentiation variables for the respective key state; determining one or more state characteristic metrics for the respective key state; and determining a classifier for the respective key state based on the one or more state characteristic metrics; and defining a physical activity model based on the one or more state characteristic metrics and the classifier associated with each key state.

Abstract: Disclosed herein are methods and systems for determining liveness of a user, comprising analyzing visual content of a screen of a client device used by a user to access an online service, adjusting one or more visual objects displayed on the screen of the client device according to dynamically changing patterns, capturing a sequence of images depicting one or more reflecting surfaces associated with the user viewing the screen while the visual objects are displayed, analyzing the images to identify a reflection of the displayed visual objects in the reflecting surfaces and verifying liveness of the user based on one or more of a plurality of reflection attributes of the identified reflection.

Abstract: Systems, devices, and methods for synchronized clock in management. In an embodiment, a system enables users to clock in to a cloud computing platform over a network through remote clock in devices, regardless of whether the remote clock in devices are online or offline. A clock in manager on the platform is configured to communicate with clock in assistants on remote clock in devices and to manage clock in of users in self and group clock in modes. A predetermined threshold may be used to determine a match with respect to a captured image. A clock in manager may intelligently determine the predetermined threshold according to algorithms based on training data. Face scan guides, liveness detection, and fraud detection may be included. A report engine supports presentations of filtered data from a control panel including map displays of devices or clock in events according to geolocation.

Abstract: A condition evaluation system evaluates a condition of an in-vehicle device installed in a vehicle. The condition evaluation system includes: an evaluation unit configured to acquire load information indicating a load on the in-vehicle device when the vehicle is used and, each time the load information is acquired, derive a condition rank of the in-vehicle device based on the load information, the condition rank indicating at least whether the in-vehicle device should be recycled; and a storage unit configured to store the condition rank derived by the evaluation unit.

Abstract: One or more devices in a data analysis computing system may be configured to receive and analyze movement data and driving data, and determine driving trips and associated drivers based on the received data. Movement data may be collected by one or more mobile devices, such as smartphones, tablet computers, and on-board vehicle systems. Drivers associated with driving trips may be identified based on the movement data collected by the mobile devices, such as speed data, acceleration data, or distance data.

Abstract: Systems and methods detecting onboard sensor tampering are disclosed. According to embodiments, data captured by interior sensors within a vehicle may be analyzed to determine an indication that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified using the captured data (e.g., that the captured data may be compromised). A date and time associated with the indication may be recorded, and a vehicle operator associated with the indication may be identified. A possible cause for the compromised data may be diagnosed, and notification may be generated indicating that the activity of the vehicle operator either cannot be sufficiently detected or cannot be sufficiently identified, and/or the possible cause. Additionally, a recommendation for restoring sensor functionality may be generated for the vehicle operator based the possible cause.

Abstract: Predictive maintenance and diagnostics for an electronic module of an autonomous vehicle using modular condition monitoring is described herein. A computing system receives a signal from a data logger which monitors a condition of the electronic module of the autonomous vehicle, wherein the signal is indicative of damage accumulation information thereof. The computing system identifies a type of the electronic module and a damage accumulation threshold for the type of the electronic module to generate a predicted maintenance schedule for the electronic module of the autonomous vehicle. The damage accumulation information can be stored in a data store to define the damage accumulation threshold for the type of the electronic module.

Abstract: A method is provided for locking and unlocking an electronic power tool. The method includes receiving, at a locking device, information associated with the electronic power tool, and generating, at the locking device, a lock code based on the received information. The method further includes transmitting, by the locking device, the lock code to the electronic power tool. The lock code is configured to lock the electronic power tool upon being received at the electronic power tool.

Abstract: The application discloses an electronic door lock with an unlocking monitoring function and a working method thereof, belonging to the technical field of intelligent locks, which comprises a lock body, a mechanical unlocking member connected to a deadbolt assembly, a main control board arranged in the lock body, and a micro switch electrically connected to the main control board. The mechanical unlocking member comprises a knob that is rotatably arranged on the lock body, and a paddle that is synchronously and coaxially driven by the knob. When the knob drives the deadbolt assembly to switch between the locked state and the unlocked state, the paddle can be rotated to trigger the micro switch. A wireless transmitting module for transmitting the trigger signal of the micro switch is integrated on the control board. The mechanical unlocking monitoring function is added.

Abstract: A vehicle includes a plurality of controllers, a database in which priorities for switching to inactivation of the plurality of controllers are stored, and a main controller configured to identify whether a key of the vehicle is in off state, when the key of the vehicle is identified to be in off state, identify a communication state of the vehicle, when at least one communication state is identified among a first communication state, a second communication state, and a third communication state, select a controller corresponding to the identified communication state from the plurality of controllers, based on the identified communication state and the priorities stored in the database, the first communication state in which an active sate of communication being maintained due to a controller in error, the second communication state in which the active sate and an inactive state of communication being repeated due to the controller in error, the third communication state in which the active sate of communicat

Abstract: Example aspects include a method, apparatus, and computer-readable medium comprising identifying, by an access control system, an access attempt associated with an individual. The aspects further include confirming, by the access control system, an identity of the individual. Additionally, the aspects further include granting access to the individual by the access control system in response to confirming the identity of the individual. Additionally, the aspects further include building, by the access control system, a digital identity profile of the individual based on visual data of the individual captured contemporaneously with the access attempt.

Abstract: Examples associated with receptacle isolation are described. One example service kiosk includes a set of receptacles for electronic devices. Each receptacle includes a power connector to provide power to an electronic device stored in the receptacle, a data connector to provide a data connection to the electronic device stored in the receptacle, and a locking mechanism to secure contents of the receptacle. Members of the set of receptacles are digitally isolated from other members of the set of receptacles. An authentication module authenticates a user based on a credential provided by the user, and controls a selected locking mechanism of a selected member of the set of receptacles based on the credential, and based on data received from a remote information technology module. A user interface module instructs the user through the process of at least one of storing a received electronic device in the receptacle, and retrieving a provided electronic device from the receptacle.

Abstract: A method and system are provided in which information about a barcode on a package is received or more generally, information placed on a package by a delivery service (such as a barcode or other code) is detected. Characteristics of the information or code are extracted. The characteristics of the information or code are compared to characteristics of information or code associated with acceptable delivery services. If the characteristics of the code or information on the package correspond to characteristics of the information or code used by an acceptable delivery service, a locked area is unlocked to allow the package to be delivered. In other embodiments, other types of markings may be placed on the package by the delivery service, and the storage system may check whether those markings have, or information has, the characteristics of an acceptable delivery service.

Abstract: The present disclosure generally relates to systems and methods for enabling on-demand, temporary storage of an autonomous vehicle in vehicle storage areas of existing infrastructures. The vehicle storage areas include one or more movable barrier operators configured to control access to the vehicle storage areas via movable barriers. An autonomous vehicle access control platform is configured to enable access to individual ones of the vehicle storage areas by a single-use access credential sent to at least one of the autonomous vehicle and one of the movable barrier operators. The autonomous vehicle access control platform communicates with a transportation-as-a-service (TaaS) platform that pairs an autonomous vehicle with a vehicle storage area for storage based at least on a factor or parameter including the location of the vehicle storage area relative to the autonomous vehicle.

Abstract: A gate for regulating access in a transit system is disclosed. The gate comprises a movable barrier, secured storage, an RFID card reader, a first processing unit that processes a set of digits from an RFID credential, generates and transmits a hash value of the set of digits, and transmits a first bin. The gate comprises a memory, having a higher capacity than the secured storage, and a second processing unit, which sends validity information for a plurality of second bins having larger number of digits than the first bin, the validity information indicates which of the plurality of second bins is valid, check if the hash value is member of first list. If the hash value is on the first list, opening of the movable barrier is regulated and if a second bin from the plurality of second bins corresponding to the RFID credential is invalid, opening is denied.

Abstract: It is presented a method for controlling access to an access object. The method is performed in an access control device and comprises the steps of: receiving a user input to reset the access control device; generating a new identifier for the access control device, and discarding any previously used identifier for the access control device; communicating with an electronic key to obtain an identity of the electronic key; obtaining a plurality of delegations, wherein each delegation is a delegation from a delegator to a receiver; and granting access to the access object only when the plurality of delegations comprise a sequence of delegations covering a delegation path from the access control device, identified using the new identifier, to the electronic key such that, in the sequence of delegations, the delegator of the first delegation is the access control device, and the receiver of the last delegation is the electronic key.

Abstract: There is a need to accurately and dynamically generate a time-based prediction and control access to the time-based prediction. This need can be addressed, for example, by allowing controlled access to user information pertaining to a user visiting a facility. In one example, a method includes storing a companion user identifier in association with a public user identifier; receiving a request for a user status of the user; determining whether the companion user is permitted to receive the user status of the user based at least in part on the public user identifier and the companion user identifier; responsive to determining that the companion user is permitted to receive the user status of the user, requesting an aggregated time-based prediction for the user; and causing, the aggregated time-based prediction to be decrypted and provided as a response to the request for the user status of the user.

Abstract: Disclosed are a cash box and a cash recycling and handling device; the cash box includes a box body, a first cash storage cavity, a second cash storage cavity, a transfer passage, a first switching member and a linkage assembly; a first lifting platform is provided inside the first cash storage cavity, and the first lifting platform is capable of moving back and forth in the preset direction and can be located at a first dispensing position; when the first lifting platform is in the first dispensing position, it is engaged with the linkage assembly to rotate the first switching member to a first position, and when the first lifting platform moves to a first inlet, the linkage assembly rotates the first switching member to a second position.

Abstract: A system for controlling the dispensing of fuel or the like in a vending apparatus, particularly for private use, comprising one or more dispensing assemblies, one or more mobile processing devices, and a central remote processing device, the mobile devices being configured to transmit data originating from the dispensing assemblies toward the central remote device. Each dispensing assembly comprises an electronic controller and dispensing element which comprise an electric pump, the electronic controller being configured to control electronically the electric pump of the dispensing element on the basis of the occurrence of an operating condition of the electrical and/or hydraulic type of the dispensing element of the dispensing assembly.