System and method of anomaly detection using machine learning and a local outlier factor

    公开(公告)号:US12165102B2

    公开(公告)日:2024-12-10

    申请号:US18526716

    申请日:2023-12-01

    Abstract: A system and method are disclosed to locate one or more data anomalies in a supply chain network comprising two or more supply chain entities. Embodiments receive supply chain data comprising a plurality of data points. Embodiments select categories and measures by which to cluster the supply chain data points. Embodiments cluster the data points into intersection clusters as measured by the selected categories and measures. Embodiments generate time interval clusters that divide the intersection clusters into one or more time intervals. Embodiments generate K-values for the plurality of data points in relation to the number of time interval clusters. Embodiments generate local outlier factors for the plurality of data points using the generated K-values.

    Storage and retrieval system
    53.
    发明授权

    公开(公告)号:US12162682B2

    公开(公告)日:2024-12-10

    申请号:US18469773

    申请日:2023-09-19

    Applicant: SYMBOTIC LLC

    Abstract: A storage array system including an open undeterministic transport surface, a navigation array disposed in connection with the transport surface, the navigation array includes a distributed feature, a first waypoint at a first position of the distributed feature, a second waypoint displaced from the first waypoint along the distributed feature and offset with respect to the first waypoint in a direction angled to the distributed feature, and a guided bot, arranged to traverse the transport surface, with a non-holonomic steering system, the guided bot having a bot pose determination system employing sensor data detecting the distributed feature, wherein the guided bot includes a controller configured to generate a substantially smooth curved bot traverse path on the transport surface connecting the first and second waypoints with a predetermined optimal trajectory of the guided bot along the traverse path determined based on a bot dynamic model.

    METHOD OF TRANSMISSION OF SIGN LANGUAGE FOR CUSTOMER USE WITH A BUSINESS

    公开(公告)号:US20240404430A1

    公开(公告)日:2024-12-05

    申请号:US18680166

    申请日:2024-05-31

    Applicant: Drivingo Inc.

    Inventor: Levern Currie

    Abstract: The present invention discloses a method for translating sign language for customer interaction with a business. The method involves receiving an order in sign language from a client, translating the order into text format through a series of processes and a decision-making step, displaying the text format on a visual display for the client, confirming the order by the client, and upon confirmation, fulfilling the client's order. This innovative method facilitates communication between clients using sign language and businesses, enhancing accessibility and inclusivity in customer interactions.

    scan organizing system
    55.
    发明申请

    公开(公告)号:US20240403821A1

    公开(公告)日:2024-12-05

    申请号:US18328887

    申请日:2023-06-05

    Abstract: The present invention is a system and method for managing stored things using scannable pieces/devices and a mobile application. The system includes small adhesive scannable pieces that are removably attached to storage spaces, as well as a mobile application that can scan the scannable components to access data on the items kept in the related storage spaces. Users, upon scanning the scannable pieces which contain item lists, find, and manage their stored goods using the mobile application without having to physically open and look through storage spaces. The scannable components are lightweight, adaptable, and simple to attach and detach from storage areas. The method makes things easier for users and can be used for inventory control and item identification in warehouses.

    TECHNIQUES FOR FILLING ORDERS
    57.
    发明申请

    公开(公告)号:US20240394785A1

    公开(公告)日:2024-11-28

    申请号:US18795722

    申请日:2024-08-06

    Applicant: Thomas Francis

    Inventor: Thomas Francis

    Abstract: A system includes location indicators, a central computing system, and a mobile scanning device. The location indicators transmit location signals and are arranged in a store that includes stocked items. The central computing system stores an item association table that maps location values to the stocked items. The location values indicate locations of the stocked items in the store. The mobile scanning device receives ordered items from the central computing system, detects location signal(s), and determines a first location value based on the detected location signal(s). The mobile scanning device arranges the ordered items on a display based on the first location value, scans a first ordered item, and transmits data to the central computing system indicating that the first ordered item is associated with the first location value. The central computing system updates the item association table based on the data.

    SYSTEM AND METHOD OF SOURCING MATERIALS

    公开(公告)号:US20240394655A1

    公开(公告)日:2024-11-28

    申请号:US18649275

    申请日:2024-04-29

    Abstract: A system and method of sourcing materials by connecting or matching Sellers having present or expected inventory with Buyers having present or expected necessity while minimizing or eliminating the use of a third party intermediary are disclosed. In some implementations, a method of sourcing materials may generally comprise receiving bid information from a candidate Seller and demand data from a candidate Buyer, comparing the bid information and the demand data to match a portion of the candidate Seller's inventory to the candidate Buyer's need (to identify a transaction), allocating and routing the portion of the inventory to the candidate Buyer via a transportation carrier, and augmenting the historical data with information associated with the transaction.

    METHOD AND APPARATUS FOR LOGISTICS MANAGEMENT USING QUANTUM COMPUTING

    公开(公告)号:US20240394653A1

    公开(公告)日:2024-11-28

    申请号:US18250040

    申请日:2021-10-25

    Abstract: A computer method and system for optimizing distribution of supply items from a plurality of inventory locations to a plurality of demand locations includes, with a server computer, obtaining inventory and demand data and establishing a quadratic unconstrained binary optimization (QUBO) problem corresponding to the distribution. Data corresponding to the QUBO problem is transferred to a quantum computer for solution. The QUBO solution is converted, by the server computer, to instructions corresponding to optimized item transfer, and displaying the instructions on electronic displays of networked devices. Computer methods may include selecting a solver computer program appropriate for problem complexity. Computer methods may include selecting a quantum computer, quantum-inspired computer, or computer array appropriate for solution.

    Methods and internet of things systems for liquefied natural gas (LNG) warehousing and transportation

    公开(公告)号:US12154072B2

    公开(公告)日:2024-11-26

    申请号:US18436001

    申请日:2024-02-07

    Inventor: Lin Fu

    Abstract: The present disclosure discloses a method and an Internet of Things system for liquefied natural gas (LNG) warehousing and transportation. The method includes: obtaining LNG warehousing and transportation information and LNG parameters through the communication network, storing the LNG warehousing and transportation information and the LNG parameters in a corresponding server database, and managing the server database through virtualization technology; determining a target warehousing station for providing LNG; determining a candidate transportation route; determining, based on the candidate transportation route, a target transportation route through a preset manner; combining environmental data and traffic data to predict an LNG vaporization situation; in response to the LNG vaporization situation meeting a preset update condition, determining an updated transportation scheme; and sending the updated transportation scheme to the object platforms through the sensor network platform, and executing the updated transportation scheme.

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