152 results about "Delivery location" patented technology

An unmanned aerial vehicle (UAV) is disclosed that includes a retractable payload delivery system. The payload delivery system can lower a payload to the ground using a delivery device that secures the payload during descent and releases the payload upon reaching the ground. The location of the delivery device can be determined as it is lowered to the ground using image tracking. The UAV can include an imaging system that captures image data of the suspended delivery device and identifies image coordinates of the delivery device, and the image coordinates can then be mapped to a location. The UAV may also be configured to account for any deviations from a planned path of descent in real time to effect accurate delivery locations of released payloads.

Systems and methods are provided for providing package delivery assistance. The systems and methods detect, by a wearable device, an identifier associated with a package and retrieve package delivery information from a package delivery device using the identifier of the package. The systems and methods display, by the wearable device, a portion of the package delivery information and generate, by the wearable device, visual navigational assistance to guide a courier to a delivery location associated with the package.

The invention discloses a supply chain performance path optimization and collaborative decision-making method based on an AI algorithm, and particularly relates to the field of supply chain performance path optimization, and the method comprises the steps: firstly obtaining order goods information and warehouse resource data, and judging whether a single warehouse can independently perform a performance or not through matching; if yes, constructing a comprehensive evaluation function including total transportation time, time redundancy, path complexity and resource utilization rate, and generating an optimal path from the warehouse to the delivery place; if multi-warehouse collaboration is needed, dynamically selecting a centralized point warehouse, generating a comprehensive early warning score and selecting an optimal centralized point by comprehensively calculating the cargo transfer cost and the historical performance risk value of each warehouse, and finally planning a transfer path from a supply warehouse to the centralized point and a performance path from the centralized point to a terminal to form a full-link collaboration scheme; according to the method, a traditional single-warehouse decision mode is broken through, global resource scheduling is realized through a double-path optimization mechanism, the transportation delay risk is remarkably reduced, and the supply chain operation efficiency is improved.

The invention relates to an automatic goods delivery device and a delivery vehicle, the automatic goods delivery device comprises a container and a mechanical arm, the container comprises a goods shelf and a container arranged on the goods shelf, the container is provided with a bottom wall used for bearing goods, and the bottom wall is a retractable movable part; the mechanical arm is used for moving the container between the designated position and the container, the mechanical arm comprises a mechanical arm body and a tail end executor installed at the end of the mechanical arm body, and the tail end executor is used for grabbing the container and driving the movable part to be folded to release goods when the container moves to the designated position. The cargo box can contain different types of cargoes, one cargo box is used for achieving standardized design and retractable movable part design in the circulation process, after the roller shutter is retracted, the cargoes automatically fall to the delivery position, only the cargoes are thrown at the tail end, the asset management problem caused by throwing of the container is avoided, and the utilization rate of the container is increased. A power source of the roller shutter comes from a chain wheel on the end effector, and the roller shutter can be driven to be folded only when the end effector is connected with the container.

Techniques for triggering a mitigation action based on an artificial intelligence (AI) model-based delivery defect prediction are described. In an example, a computer system determines contextual information associated with a stage of a delivery flow of an item to a delivery location. The computer system generates an input based at least in part on the contextual information and provides the input to an AI model trained to predict delivery defect information at delivery flow stages. The computer system determines, based at least in part on an output of the artificial intelligence model, a predicted delivery defect associated with the stage of the delivery flow. The computer system determining a mitigation action based at least in part on the predicted delivery defect and causing the mitigation action to be performed.

Systems and methods for delivering packages and consumer items using a plurality of package containers acting as lockers for the items, in which the plurality of package containers are transported between delivery locations by at least one on-road vehicle operative to straddle-over and grab any of the package containers, carry the package containers from one delivery location to another, and release / straddle-off the package containers at delivery locations. Some of the package containers may include multiple lockers, in which case the on-road vehicle transports and releases a package container in a first location, and while the package container awaits an item to be picked up from one of its lockers, the on-road vehicle continues on its way to handle other package containers. When the item is finally picked-up from the locker, the on-road vehicle may return, grab the package container and move it to another location or back to a warehouse.

An online system receives, from a customer mobile application (CMA) an order including an item that requires verification of delivery. The online system transmits an indication that the order includes the item to a delivery mobile application (DMA). The DMA transmits a real-time location of a client device of a delivery agent to the online system. Responsive to determining that the delivery agent is at a delivery location, the online system transmits an indication to the DMA to display a user interface including an interactive element for requesting a receipt from a customer. Responsive to receiving an indication of an interaction with the interactive element, the online system transmits an indication to the CMA to display a user interface with a verification element. The CMA transmits a receipt received via the verification element to the online system, which stores the receipt as verification information.

A system or method for verifying delivery of items in an order using user and delivery client devices. The system receives, from a user device, an order containing at least one item requiring delivery verification. The system determines that a delivery device is within a geofence around the delivery location and sends instructions to display a user interface for initiating verification. Upon interaction, the system instructs the user device to display a signature interface. If the user cannot provide a signature, the system sends instructions to the delivery device to present a fallback verification interface, including at least one of: a document scanning element, image capture element, or text fields for manual entry of identification information. Verification data collected through this interface is received from the delivery device and stored in a verification database, certifying delivery of the order.

The present disclosure relates to a delivery robot for providing delivery services, wherein the delivery robot includes a communication unit and one or more processors, and the one or more processors are configured to obtain delivery object information and delivery location information of the delivery object, determine a tray on which the delivery object is to be loaded based on the delivery object information, invoke a transportation means to move to the delivery location, and when recognizing that a floor included in the delivery location information has been reached, get off the transportation means and move to a destination corresponding to the delivery location information.

This specification relates to systems, methods and apparatus for automating and guiding the delivery of concrete from a concrete mixer. According to a first aspect of this specification, there is described a system for positioning a delivery chute (104, 210) of a concrete mixer vehicle (100, 200), the system comprising: one or more vehicle positioning sensors (116) for determining location data specifying a location of the concrete mixer vehicle (100, 200); the delivery chute (104, 210) for delivering the concrete mix from a concrete mixing drum (102) to a target location (204), the delivery chute (104, 210) comprising: one or more chute positioning sensors (112) for monitoring a position of the delivery chute (104, 210); and one or more actuators (110) for positioning the delivery chute (104, 210); one or more processors; and a memory, the memory storing computer readable instructions that, when executed by the one or more processors, cause the system to perform a method positioning a delivery chute (104, 210) of a concrete mixer vehicle (100, 200). The method comprises: determining, based on the location data, whether the concrete mixer vehicle (200) is at a target vehicle location (206); initiating, based at least in part on determining that the concrete mixer vehicle (200) is at the target vehicle location (206), deployment of the delivery chute (210) from the concrete mixing vehicle (200); positioning, based at least in part on data from the one or more chute positioning sensors (112), the delivery chute (210) to a target delivery location (204) using the one or more actuators (110); and indicating, to a user of the concrete mixer vehicle, that the chute is in a correct position for concrete delivery.

An online system predicts whether a user will be at a delivery location at a delivery time for an attended delivery of an order using a machine-learned model. The online system receives the order from a client device of a user and a request by the user for an attended delivery of the order where the user will be at the delivery location at the delivery time of the order. The machine-learned model predicts that the user will not be at the delivery location at the delivery time based on user attributes of the user and order attributes of the order that are input into the machine-learned model. The online system performs a remedial action including transmitting a notification to the client device of the user to provide additional instructions for the attended delivery responsive to the determination that the user is not likely to be at the delivery location.

The invention relates to the field of unmanned aerial vehicles, in particular to a logistics conveying unmanned aerial vehicle which comprises a body, a putting unit is arranged below the body, and the putting unit comprises a loading box with a downward opening and a putting box with an upward opening; a lifting assembly of the throwing box is arranged in the loading box, the lifting assembly is used for lowering the throwing box to the ground from the interior of the loading box, the lifting assembly comprises first winding wheels rotationally connected to the two sides of the top in the loading box, a steel wire rope is wound around each first winding wheel, and the end of each steel wire rope is fixedly connected to an upper end opening of the throwing box; according to the logistics conveying unmanned aerial vehicle, in terms of safety, when the unmanned aerial vehicle arrives at a delivery position every time, only articles of a pickup person are delivered, other articles are temporarily stored on the body, and the safety of the articles is guaranteed; in the aspect of efficiency, a plurality of articles to be thrown can be temporarily stored on the body, the body flies outside at a time, one-by-one throwing of the articles can be achieved, the efficiency is high, and meanwhile the time requirement for the articles of a pick-up person can be met.

A hand-held rodent trap setting device includes a base supporting a rodent trap, a handle, and a releasable trap retainer that user-releasably secures the rodent trap to the platform. The device allows a user to arm the trap near a delivery location, and place the trap even in relatively inaccessible locations. The retainer may include a clamping arm that presses down on the top surface of the trap base, a spring-loaded ball that presses up on the underside of the trap base, and / or a magnet that attaches to a metallic part of the rodent trap such as the arm bar hinge. A trap release such as a clamping arm actuator, a longitudinal plunger, and / or a slidable magnet support allows detaching the rodent trap after arming. A spring-loaded safety catch allows automatically securing the kill bar of the trap when the trap is being armed while secured to the platform.

A system including: a self-contained module configured to install within a cargo vehicle; and a controller. The self-contained module includes: a shelf assembly; and a robotic assembly. The shelf assembly includes: shelves configured to store packages; and a chute extending between the shelves and configured to locate proximal a driver cab of the cargo vehicle. The robotic assembly includes: an end effector configured to manipulate the packages; a robotic arm configured to manipulate the end effector across the shelves; and an elevator configured to maneuver the robotic arm between the shelves. The controller is configured to: identify a shelf occupied by a package associated with a delivery location; trigger the elevator to maneuver the robotic arm to the shelf; and trigger the robotic arm to withdraw the package, via the end effector, toward the chute prior to arrival of the cargo vehicle at the delivery location.

A method for providing signature-based order monitoring, the method comprising: Capturing an image relating to a vehicle at an order location and at a delivery location relative to a point of sale unit using an image capturing unit by detecting the presence of a vehicle at the order location and the delivery location using a vehicle presence sensor; Processing the image captured at the job location and the delivery location to extract a small region of interest, subsequently reducing the small region of interest to a unique signature, and storing the signature associated with the job location in a database together with a corresponding job and the image; and Comparing the signature associated with the delivery location with the signature stored in the database, after which the order associated with the vehicle is displayed in a user interface together with the image taken at the delivery location and the order location, ensuring that the correct order is fulfilled for a customer.

Fleet management of unmanned aerial vehicles (UAVs) is disclosed. Fleet management systems and methods may be implemented within UAVs, or systems utilizing UAVs, utilized in a delivery system configured to pick up a payload or a package at a shipping location and deliver a payload or package to a delivery location. The fleet management systems and methods may facilitate system operations of a UAV fleet, including, without limitation, positioning or deploying UAVs to meet or fill demand, prepositioning UAVs to meet a demand prediction, association delivery' orders to UAVs, order fulfillment, fleet maintenance management during operations, and flight path planning or generation.

An inspection device comprises a layer conveyor which has a pickup and a drive in order to pick up a respective individual anode or cathode layer from a transfer location and bring it to a delivery location. A stacking table picks up the anode or cathode layer from the pickup at the delivery location to form a layer stack. The layer conveyor delivers an anode or cathode layer from its pickup to the stacking table at the delivery location. An image sensor is directed towards an area encompassing an upper edge of the layer stack located on the stacking table, which comprises a connection tab of the anode or cathode layer located at the top of the layer stack and performs an image feed before or after the anode or cathode layer is deposited on the stacking table.

A delivery management server includes: a control module for searching for a plurality of delivery locations located on a navigation route among the navigation information and transmitting the searched delivery locations, when order information and navigation information of goods are received; and a determination module for determining an assembly point to receive goods loaded in an unmanned cargo aircraft according to the order information and an unmanned delivery robot to receive the goods from the assembly point and deliver them to the delivery location to receive the goods from the assembly point and deliver the same to the delivery location, so that the goods can be delivered to the delivery location within the estimated arrival time, when the delivery location selected by the user among the plurality of delivery locations and the estimated arrival time of the vehicle to the selected delivery location are received.

A computer-implemented method of controlling an autonomous vehicle (AV) for delivering a payload (120) to an intended delivery location (130-2), the method comprising the steps of: identifying a first AV (110-1) for retrieving the payload from a first location (130-1); determining a second location (140-1) to which the first AV is capable of travelling from the first location with the payload; instructing the first AV to retrieve the payload from the first location and deliver the payload to the second location; transmitting a wireless communication (160) requesting another AV to assist in delivering the payload from the second location, wherein the wireless communication is in the form of a system information message; in response to the wireless communication, identifying a second AV (110-2) for retrieving the payload from the second location; and instructing the second AV to retrieve the payload from the second location and deliver the payload to the intended delivery location (140-3).

The invention relates to an information processing apparatus, an information processing method, and a non-transitory computer readable medium. The present disclosure improves techniques relating to delivery of goods. The information processing device (20) is provided with a control unit (23) that, when the delivery of the cargo to the designated delivery location is not completed before the scheduled delivery time, controls the delivery of the cargo to the designated delivery location within a delay time from the scheduled delivery time to a delivery completion time at which the delivery of the cargo is completed. Content that is set so as to be viewable by an order is provided to a terminal device (30) held by the order.

The application provides a warehouse management method for stacked boxes and related devices, applied to a terminal device of a warehouse management system. The method comprises: when detecting a warehousing task, determining a target warehousing instruction according to warehousing information corresponding to the warehousing task, and sending the target warehousing instruction to the warehousing robot, so that the warehousing robot simultaneously places multiple target warehousing stacked boxes on a target storage location; when detecting a delivery task, determining a target delivery instruction according to delivery information corresponding to the delivery task, and sending the target delivery instruction to the warehousing robot, so that the warehousing robot simultaneously takes out multiple target delivery stacked boxes and transports them to a target delivery location. In this way, the specific application of stacked boxes in the field of intelligent warehousing is realized, the boxes can be stably stacked and stored in the warehouse, the vertical space utilization rate of the same location is improved, the warehouse management cost is saved, and the intelligence of the system is improved.

The invention relates to an order processing method and apparatus, an electronic device and a storage medium. The method comprises the steps of obtaining a source position and a target position of a to-be-allocated order, and a first neighborhood range of the source position and a second neighborhood range of the target position; determining delivery personnel with a to-be-delivered position falling into the first neighborhood range and a to-be-delivered position falling into the second neighborhood range in a current delivery path as candidate delivery personnel, the current delivery path comprising a position sequence composed of at least one to-be-delivered position; and according to the current delivery path of each candidate delivery person, and the to-be-delivered position falling into the first neighborhood range and the to-be-delivered position falling into the second neighborhood range in the current delivery path, determining a target delivery person and updating the current delivery path of the target delivery person.

The invention discloses an order information display method, an order information acquisition method, an order information display device, an order information acquisition device, an electronic device and a storage medium, in the order information display method, initial order delivery address information is provided for a server, then the server determines an initial interest surface to which the initial order delivery address information belongs, whether the initial interest surface hits a reference interest surface is judged, and if the reference interest surface is hit, the order information is displayed. Actually, whether the initial delivery position point is a deliverable position point or not is judged based on the initial interest surface to which the reference interest surface belongs, and when the initial delivery position point is not the deliverable position point, the candidate delivery position point is determined based on the hit reference interest surface. According to the method, candidate delivery position points which are provided by a server side, correspond to the to-be-processed order and can be directly delivered are obtained, and then guide information used for guiding an order placing user to select candidate delivery position point information is displayed on an order submission page subsequently, so that the order placing user selects a target delivery position point based on the guide information; and a distribution rider can conveniently distribute the to-be-processed order.

The delivery system automatically delivers the delivery items to each of a plurality of residents in the building through a delivery channel arranged in the building. A delivery system is provided with: a control unit that, when a delivery item delivered through a conveyance path passes through a delivery item placement site provided in a resident of a recipient of the delivery item, moves the delivery item delivered through the conveyance path from the conveyance path to the delivery item placement site; and a locking mechanism that locks the delivered article so as not to be removed from the transfer path, and that unlocks in response to an authentication process. The building is provided with the delivery system and the conveying channel. The delivery system is provided with the delivery system and a server that manages the autonomous vehicle to transport the delivery items from the logistics site outside the building to the building.

Disclosed herein are systems and methods generating a dynamic purchase interface within an on-demand purchase app installed and executed on a client device. An inventory management system (IMS) is configured to store, for each inventory unit within an automated vehicle, an inventory record, and to monitor a location of the automated vehicle as the automated vehicle travels along a predetermined travel route. The IMS is also configured to receive, from the client device, a request for generation of the dynamic purchase interface within the on-demand purchase app executed at the client device, and, in response to the request, identify a delivery location associated with the client device, and cause display of the dynamic purchase interface within the on-demand purchase app at the client device, the dynamic purchase interface including a subset of the inventory units that are available for delivery to the delivery location at a delivery time.

The invention discloses a time efficiency label generation method and device and a storage medium, and relates to the technical field of logistics time efficiency, and the time efficiency label generation method comprises the steps: responding to a time efficiency label obtaining request, and determining whether the client time corresponding to the time efficiency label obtaining request is before the preset time; and if the client time is before the preset time, constructing query input based on a commodity identifier corresponding to the timeliness label acquisition request, and querying the white list data in the memory cache. When the subitems in the white list data are hit, the shipping warehouse information and the receiving place information corresponding to the timeliness label acquisition request are assembled into a key, and the precomputation state of the target route is inquired in the Redis cache based on the key assembled by the shipping warehouse information and the receiving place information. And if the pre-calculation state is normal, the next day arrival tag is used as a response of the timeliness tag acquisition request and is sent to the client. According to the method, the technical effect of high-robustness and high-certainty time-efficiency label calculation capability of the million-level QPS can be realized.

The system according to this embodiment aims to efficiently match people who want to purchase goods with people who want to deliver them. [Solution] The system according to the embodiment comprises a selection unit, a matching unit, a notification unit, a delivery unit, and a payment unit. The selection unit selects a product. The matching unit matches the purchaser and the delivery person based on the product selected by the selection unit. The notification unit notifies the delivery person matched by the matching unit. The delivery unit has the delivery person notified by the notification unit leave the product at the delivery location. The payment unit makes a payment based on the product selected by the selection unit.

A hand-held rodent trap setting device includes a base supporting a rodent trap, a handle, and a releasable trap retainer that user-releasably secures the rodent trap to the platform. The device allows a user to arm the trap near a delivery location, and place the trap even in relatively inaccessible locations. The retainer may include a clamping arm that presses down on the top surface of the trap base, a spring-loaded ball that presses up on the underside of the trap base, and / or a magnet that attaches to a metallic part of the rodent trap such as the arm bar hinge. A trap release such as a clamping arm actuator, a longitudinal plunger, and / or a slidable magnet support allows detaching the rodent trap after arming. A spring-loaded safety catch allows automatically securing the kill bar of the trap when the trap is being armed while secured to the platform.

The present application discloses a control method for a mobile printing robot, a chip, and a mobile printing robot. The control method for the mobile printing robot includes: the mobile printing robot receives a printing request; obtains a file to be printed and a designated delivery location based on the printing request; calculates a first duration required for the mobile printing robot to complete the printing work of the file to be printed; calculates a second duration required for the mobile printing robot to move to the designated delivery location; and controls the mobile printing robot to execute a corresponding parallel printing and delivery process according to the first duration and the second duration, so that the printing work of the file to be printed is completed when the mobile printing robot moves to the designated delivery location. The present application reasonably arranges the parallel printing and delivery process of the mobile printing robot from the perspective of working time consumption, improves the printing and delivery efficiency of the mobile printing robot, and enables the mobile printing robot to complete the printing work of the printed file when the mobile printing robot moves to the designated delivery location.

The present invention belongs to the technical field of logistics distribution, and specifically relates to an intelligent logistics distribution system based on unmanned aerial vehicles, which includes: an unmanned aerial vehicle flight unit, a hoisting unit, a logistics carrying unit, and a control unit; a mounting bracket is provided at the bottom of the unmanned aerial vehicle flight unit; the hoisting unit is arranged on the mounting bracket; the logistics carrying unit is arranged at the bottom of the mounting bracket; the control unit is arranged outside the logistics carrying unit. When using the hoisting unit to lift large items separately and using the logistics carrying unit for transportation, the items are stored in the storage cavity. When reaching the delivery location, the control unit is used to connect to the user's mobile phone for verification. After verification, the electric control cabinet door is opened, and the electric push rod is used to push the items in the storage cavity out to complete the delivery. The method of hoisting is used to transport large items separately, and the logistics carrying unit is used to transport the items stored in the cabinet back and forth, which is convenient for logistics distribution.