206 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.

Techniques for optimizing messages in a telecommunications network are discussed herein. More particularly, an SMSF can be configured to refrain from sending deregistration and / or unsubscribe messages to a UDM in response to a handover from 5G to 4G, which can thereby reduce signaling in the network. Further, because of the suppressed messages, the network maintains SMSF session information, which indicates the delivery location for a SMS message. However, when a SMSC receives a SMS addressed to the UE, the HSS may query a UDR for SMSF session information, SMSF registration status, and / or AMF registration status. The HSS may determine a location for the SMS based on the active location of the UE, as determined by the AMF registration status. Thus, the techniques discussed herein represent network optimizations while allowing SMS messages to be correctly routed in a network.

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.

A trained computer model for automatic identification of a wrong delivery location for an order placed at an online system. The online system receives, via a user interface, a user input that includes a delivery location for the order. The online system compares the received delivery location with a stored delivery location for the user. Responsive to identifying that the received and stored delivery locations are different, the online system accesses and applies a computer model to predict, based on features of the order, a likelihood of the received delivery location being correct. The online system generates, based on the predicted likelihood, a confidence score of the received delivery location being correct. Responsive to the confidence score being below a threshold score, the online system causes a device of the user to display a user interface with a message prompting the user to verify accuracy of the received delivery location.

Techniques for item delivery and delivery systems including autonomous delivery vehicles used to identify optimal delivery locations and / or deliver physical items to pedestrians is discussed herein. In some examples, a fleet management system may receive sensor data captured from sensor devices of vehicles of a fleet of vehicles while traversing within an environment. The fleet management system may use the sensor data to identify region(s) of the environment within which a threshold number of pedestrians may be located. Based on identifying a region having a threshold number of pedestrians, the fleet management system may determine how many vehicles of the fleet of vehicles are available to render delivery services to the pedestrians within the region. In some examples, the fleet management system may identify an available vehicle of the fleet of vehicles to which instructions may be sent. Such instructions may include transporting items to pedestrians within the region.

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.

This cargo handling system assists cargo handling work when cargo loaded on a vehicle is unloaded, and is provided with: an RFID reader / writer that has a plurality of antennas disposed in a cargo compartment, and that transmits and receives radio waves to and from an RFID tag attached to the cargo via each of the plurality of antennas; a storage unit that stores a list in which the ID information of the RFID tags is associated with the delivery locations; a display device disposed in the cargo compartment; and a control device that acquires ID information associated with the delivery location from the storage unit, acquires the radio wave intensity of the RFID tag having the acquired ID information from the RFID reader / writer, and controls the display device so as to show the placement position of the undelivered goods when the acquired radio wave intensity exceeds a threshold value, and controls the display device so as to display the placement position of the undelivered goods when the acquired radio wave intensity exceeds the threshold value. The undelivered goods are goods to which the RFID tag is attached.

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.

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.

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.

Embodiments described herein disclose methods and systems for community item distribution. In some implementations, the community item distribution system includes a platform for users to post information regarding items they want to share with the community. The community item distribution system can categorize the information and establish donation parameters for the shared items. The donation parameters can include where and when items can be donated or retrieved, what types of items can be donated, and who can request the donated items. In some cases, the community item distribution system can generate a user interface listing the available items that users can request. Upon request of an item, the community item distribution system can schedule a drone to transport the item, in a secured container with ultraviolet lights to disinfect the item, from the storage location to the delivery location.

The sorting systems and methods described herein provide for sorting of prawns. The sorting system may be combined with a delivery system. The sorting system employs rotating slide pairs and optional guide chutes to deliver shrimps to selected delivery locations.

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.

The invention discloses an intelligent retail order dynamic scheduling method based on multi-source data fusion, and relates to the technical field of order dynamic scheduling, and the method comprises the steps: determining the distribution position of a target order through monitoring the order position information change in an order transportation process, and analyzing a plurality of selectable paths and time limits based on a preset path model; firstly, whether an order is a time limit order is identified, and a transportable time limit is calculated; then, comparing the time limit required by the optimal path with the transportable time limit of the order, and judging whether the order is an abnormal order or not; if the order is an abnormal order, whether the transportation time limit can be prolonged through protection measures is judged, and finally whether delivery can be completed according to the optimal path is determined; the distribution risk caused by external interference is effectively prevented through fine management, and an intelligent and flexible scheduling solution with high adaptability is provided for logistics enterprises, so that the customer experience and satisfaction are greatly improved while the economic benefit is improved.

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.

The invention relates to delivery technology, in particular to an article delivery and sorting system comprising an article supply location comprising a plurality of articles, and an elevated track network having a plurality of track sections. A self-guided self-propelled suspended vehicle travels bi-directionally along a plurality of track portions. The suspended vehicle has a first position in which a carrier carrying at least one selected item is engaged with the suspended vehicle, and a second position in which the carrier is disengaged from the suspended vehicle. The system also includes a controller. The controller determines a first delivery location among the plurality of delivery locations to deliver the selected item using the suspension vehicle according to the destination determined for the selected item. The controller also directs delivery of the carrier at the first delivery position by manipulating the suspended vehicle from the first position to the second position.

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 present invention relates to the field of Internet technology, and discloses an ordering method, device and electronic device. The method comprises: determining whether to display a free group purchase entrance area on the group purchase platform homepage of the terminal according to the user's delivery location information; if it is determined that the free group purchase entrance area is displayed on the group purchase platform homepage of the terminal, obtaining the free group purchase session information and object information according to the delivery location information and sending it to the terminal, so that the terminal displays the session information and / or object information in the free group purchase entrance area, and so that the terminal jumps to the free group purchase homepage in response to the first touch operation on the free group purchase entrance area and displays the session information and / or object information on the free group purchase homepage, and the object information is the information of the object belonging to the current session; receiving an order submission operation for the object; when the time of the order submission operation is before the automatic group formation time of the current session, generating an order. The embodiment of the present invention is easy to operate and improves the ordering efficiency.

An autonomous vehicle for use with an autonomous delivery service that facilitates a service delivery includes: a beacon receiver configured to receive a wireless homing beacon transmitted from a beacon device as a radio frequency (RF) signal that designates a desired delivery location at a service address selected by a subscriber, wherein the wireless homing beacon is modulated by beacon data that identifies the subscriber and includes a pseudo random code sequence generated by a code generator that is recognized by the autonomous vehicle to authenticate the delivery; and wherein the wireless homing beacon is received by the beacon receiver to facilitate the service delivery to the subscriber by the autonomous vehicle at the desired delivery location at the service address selected by the subscriber; an image capture device configured to generate delivery image data captured after the service delivery; and a transmitter configured to transmit the delivery image data captured after the service delivery.