A system determines an interaction period during which a fuel dispensing operation is performed at a fuel dispensing terminal. The system determines a measured volume per unit time parameter associated with fuel dispensed from the fuel dispensing terminal by dividing the determined volume for fuel by the interaction period. The system compares the measured volume per unit time parameter with a threshold volume per unit time parameter. In response to determining that the measured volume per unit time parameter is less than the threshold volume per unit time parameter, the system retrieves a video feed that shows the fuel dispensing terminal during the fuel dispensing operation. The system creates a file for the fuel dispensing operation. The system stores the video feed in the created file.
A system detects a fuel dispensing operation that indicates fuel is being dispensed from the fuel dispensing terminal. The system determines an identifier value associated with a volume of fuel dispensed from the fuel dispensing terminal. The system determines a measured volume per unit time parameter associated with the fuel dispensed from the fuel dispensing terminal by dividing the determined identifier value by a unit parameter. The system compares the measured volume per unit time parameter with a threshold volume per unit time parameter. In response to determining that the measured volume per unit time parameter is less than the threshold volume per unit time parameter, the system communicates an electronic signal to the fuel dispensing terminal that instructs the fuel dispensing terminal to stop dispensing fuel.
A system for selecting delivery mechanisms sends a request to a plurality of servers associated with one or more autonomous delivery mechanism and one or more non-autonomous delivery mechanisms to provide delivery metadata. The request comprises a pickup location coordinate and a delivery location coordinate. The delivery metadata comprises a delivery time and a delivery quote. The system receives a first set of delivery metadata associated with one or more autonomous delivery mechanisms, and a second set of delivery metadata associated with one or more non-autonomous delivery mechanisms. The system identifies a particular autonomous delivery mechanism from within the category of autonomous delivery mechanisms based on the first set of delivery metadata. The system identifies a particular non-autonomous delivery mechanism from within the category of non-autonomous delivery mechanisms based on the second set of delivery metadata.
A device configured to receive a rack identifier for a rack that is configured to hold items. The device is further configured to identify a master template that is associated with the rack. The device is further configured to receive images of the plurality of items on the rack and to combine the images into a composite image of the rack. The device is further configured to identify shelves on the rack within the composite image and to generate bounding boxes that correspond with an item on the rack. The device is further configured to associate each bounding box with an item identifier and an item location. The device is further configured to generate a rack analysis message based on a comparison of the item locations for each bounding box and the rack positions from the master template and to output the rack analysis message.
A device configured to detect a triggering event at a platform and to capture a depth image of items on the platform using a three-dimensional (3D) sensor. The device is further configured to determine an object pose for each item on the platform and to identify one or more cameras from among a plurality of cameras based on the object pose for each item on the platform. The device is further configured to capture one or more images of the items on the platform using the identified cameras and to identify items within the one or more images based on features of the items. The device is further configured to identify a user associated with the identified items on the platform, to identify an account that is associated with the user, and to associate the identified items with the account of the user.
A coffee machine (100) includes a first housing (105) and a second housing (110), wherein the second housing (110) is disposed on top of the first housing (105). The second housing (110) comprises a first platform (510), a second platform (515) disposed below the first platform (510), and a lift (520) disposed at a first side of the second housing (110) and configured to translate between the first platform (510) and the second platform (515). The second housing (110) further comprises a first robotic arm (535) disposed above the first platform (510), a second robotic arm (540) disposed between the second platform (515) and the first platform (510), and a coffee brewing machine (550) actionable to dispense one or more fluids into a cup. The coffee machine (100) further comprises an information handling system (125) comprising a processor (1305), wherein the processor (1305) is configured to actuate the first robotic arm (535), the second robotic arm (540), the coffee brewing machine (550), and the lift (520).
A47J 31/52 - Alarm-clock-controlled mechanisms for coffee- or tea-making apparatus
G07F 13/06 - Coin-freed apparatus for controlling dispensing of fluids, semiliquids or granular material from reservoirs with selective dispensing of different fluids or materials or mixtures thereof
G07F 13/10 - Coin-freed apparatus for controlling dispensing of fluids, semiliquids or granular material from reservoirs with associated dispensing of containers, e.g. cups or other articles
7.
SYSTEM AND METHOD FOR POSITION TRACKING USING EDGE COMPUTING
A tracking system includes a camera subsystem that includes cameras that capture vide of a space. Each camera is coupled with a camera client that determines local coordinates of people in the captured video. The camera clients generate frames that include color frames and depth frames labeled with an identifier number of the camera and their corresponding timestamps. The camera clients generate tracks that include metadata describing historical people detections, tracking identifications, timestamps, and the identifier number of the camera. The camera clients send the frames and tracks to cluster servers that maintain the frames and tracks such that they are retrievable using their corresponding labels. A camera server queries the cluster servers to receive the frames and tracks using their corresponding labels. The camera server determines the physical positions of people in the space based on the determined local coordinates.
An image sensor is positioned such that a field-of-view of the image sensor encompasses at least a portion of a rack storing items. The image sensor generates angled-view images of the items stored on the rack. A tracking subsystem receives image frames of the angled-view images. The tracking subsystem detects that a trigger event has occurred. A set of one or more image frames from the image feed are determined that are associated with the detected trigger event. A region-of-interest of the image frame is determined based on the pixel position of the wrist of the person. The region-of-interest includes a subset of the pixels of the image frame. A first item in the determined region-of-interest using an object detection algorithm. The identified first item is assigned to the person.
An apparatus includes a memory and a processor. The memory stores a set of inputs, an algorithmic shopping cart, and a machine learning algorithm. The set of inputs includes information collected from sensors located in a physical store during a shopping session of a person. The algorithmic shopping cart includes items determined by an algorithm, based on the set of inputs, to have been selected during the shopping session. The machine learning algorithm is configured to use the set of inputs to select between using the algorithmic shopping cart and using a virtual shopping cart to process a transaction associated with the shopping session. The processor uses the machine learning algorithm to determine, based on the set of inputs, to use the algorithmic shopping cart to process the transaction. In response, the processor generates a receipt based on the algorithmic shopping cart. The processor sends the receipt to the person.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
10.
SYSTEM AND METHOD FOR PROVIDING MACHINE-GENERATED TICKETS TO FACILITATE TRACKING
A tracking system includes a set of cameras, a kiosk, and a tracking server. The kiosk receives a payment amount from a person. The tracking server extracts features of the person from an image feed received from the set of cameras. The tracking server generates a session identifier that is associated with the payment amount and a unique code. The unique code represents at least one of the payment amount and features of the person. The tracking server sends a message to the kiosk to provide a ticket corresponding to the payment amount and the unique code to the person. The tracking server receives a digital cart associated with the person comprising items and a total cash value of the items. The tracking server concludes a transaction by deducting the total cash value from the payment amount.
A system includes a server and merchant device. The server receives product information for a product scanned by a mobile device. The server stores the product information for the product in a digital cart. The server receives a transaction request from the mobile device, determines that the product is associated with a validation requirement, and transmits a validation request to the merchant device. The server receives, from the merchant device, an indication that the validation requirement is satisfied, processes a transaction, and transmits, to the merchant device, an indication that the transaction is complete. The merchant device receives the validation request, determines that the validation requirement is satisfied, and transmits the indication that the validation requirement is satisfied to the server. The merchant device receives, from the server, the indication that the transaction is complete and displays the indication that the transaction on the display.
G06Q 20/40 - Authorisation, e.g. identification of payer or payee, verification of customer or shop credentials; Review and approval of payers, e.g. check of credit lines or negative lists
G06Q 30/06 - Buying, selling or leasing transactions
A scalable tracking system processes video of a space to track the positions of people within a space. The tracking system determines local coordinates for the people within frames of the video and then assigns these coordinates to time windows based on when the frames were received. The tracking system then combines or clusters certain local coordinates that have been assigned to the same time window to determine a combined coordinate for a person during that time window.
A system includes a sensor, a weight sensor, and a tracking subsystem. The tracking subsystem receives an image feed of top-view images generated by the sensor and weight measurements from the weight sensor. The tracking subsystem detects an event associated with an item being removed from a rack in which the weight sensor is installed. The tracking subsystem determines that a first person and a second person may be associated with the event. The tracking subsystem then determines, using a first approach, whether an action associated with the event was performed by the first person or the second person. If results of the first approach do not satisfy criteria, a second approach is used to assign the action to the first or second person.
An apparatus includes a display, interface, and processor. The interface receives video from a camera located in a physical store and directed at a first physical rack. The camera captures video of the rack during a shopping session. The processor displays a first virtual rack that emulates the first physical rack and includes first and second virtual shelves. The virtual shelves include virtual items, which include graphical representations of physical items located on the physical rack. The processor displays the rack video, which depicts an event including the person interacting with the first physical rack. The processor also displays a virtual shopping cart. The processor receives information associated with the event, identifying the first virtual item. The rack video depicts that the person selected the first physical item while interacting with the first physical rack. The processor then stores the first virtual item in the virtual shopping cart.
A validation system that includes a server and a validation terminal. The server is configured to receive location information for a mobile device and to determine the mobile device is at a registered location. The server is further· configured to process a transaction for the products in a digital cart, to generate a barcode, and to encrypt the barcode using a private, key linked with the registered location. The server is further configured to send the encrypted barcode to the mobile device. The validation engine is configured to scan the encrypted barcode using a barcode reader and to decrypt the encrypted barcode using the stored public key that is linked with the. private key. The validation terminal is further configured to indicate the transaction is valid in response to decrypting the encrypted barcode using the public key.
In one aspect, a rolling information display apparatus for use with a roller grill includes an elongated envelope. A cap is removably positioned over at least one opening of the envelope. An information bearing medium is removably positioned inside the envelope. In one embodiment, a sealing member is disposed to create a substantially watertight seal over at least one opening of the envelope. In another aspect, a rolling information display apparatus for use with a roller grill is a cylindrical rolling member having one or more rolling surfaces rolling in contact with heated rolling surfaces of the grill. The cylindrical rolling member also has one or more recessed surfaces bearing information about food items offered for sale on the grill. The recessed surfaces are provided in regions of the rolling member that are of diameter less than regions of the rolling member in which the rolling surfaces are provided.
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