Technologies for physical address aliasing include an alias server, an owner device, and a consumer device in communication over a network. The owner device submits an alias identifier and a physical address to the alias server. The alias server associates the alias identifier and the physical address in a secure address database. The alias identifier may be a human-readable unique identifier. The consumer device submits a request including the alias identifier to the alias server. The alias server authenticates the consumer device, retrieves the physical address associated with the alias identifier, and sends a response based on the physical address to the consumer device. The response may be generated based on an access role associated with the consumer device. The response may include the physical address, a lower-resolution address based on the physical address, or confirmation of validity of the alias identifier. Other embodiments are described and claimed.

Disclosed is a method, performed by an electronic device, for assigning items into one or more containers. The method comprises obtaining a plurality of attributes associated with a corresponding item. The method comprises obtaining a set of container parameters associated with a corresponding container. The method comprises obtaining one or more constraints, wherein the one or more constraints limit assigning items in a same container. The method comprises determining an assignment of the items to the one or more containers, based on the attributes, the set of container parameters and the one or more constraints. The method comprises outputting, based on the assignment, an assignment plan of the items into the one or more containers.

Techniques relating to delivery plan generation are improved. A delivery plan generation method comprises: generating a plurality of delivery patterns (S110); narrowing the plurality of delivery patterns down to a designated number of delivery patterns, based on a plurality of solutions calculated as a result of inputting the plurality of delivery patterns to an annealing machine (30) (S120); and generating a delivery plan based on delivery patterns selected from the designated number of delivery patterns (S130).

A shipping assistance device which enables a delivery service operator to quickly confirm that the size of an item has been properly measured and there is no need to re-measure the size, and proceed to operations for transportation, comprises a table to place items, upper and side shooting devices for shooting images of an item on the table, a storage chamber for storing items, front-facing and upward-facing displays a printer for printing a shipping label, and a processing controller configured to measure the size of the item on the table based on shot images, determine if the item is acceptable to be put in the storage chamber based on the measured size, display a determination result on the displays, and when the item is determined acceptable, instruct the printer to print a shipping label with an acceptance signature for the item.

This invention provides a system and method that uses a hybrid model for transportation-based (e.g. maritime) visual event detection of events. In operation, video data is reduced by detecting change and exclusively transmitting images to the deep learning model when changes are detected, or alternatively, based upon a timer that samples at selected intervals. Relatively straightforward deep learning models are used, which operate on sparse individual frames, instead of employing complex deep learning models that operate on multiple frames/videos. This approach reduces the need for specialized models. Independent, rule-based classifiers are used, based on the output of the deep learning model into visual events that, in turn, allows highly specialized events to be constructed. For example, multiple detections can be combined into higher-level single events, and thus, the existence maintenance procedures, cargo activities, and/or inspection rounds can be derived from combining multiple events or multiple detections.

Exemplary embodiments described in this disclosure generally pertain to systems and methods to handle packages transported in a delivery vehicle. In an example embodiment, a computer that is provided in a vehicle receives a command related to delivery of a package. The command may be associated, for example, with rerouting of the vehicle due to various reasons such as, for example, due to a change in a delivery schedule and/or a delivery priority. The computer may respond to the command by operating an unmanned package moving apparatus to move the package from one location in a cargo area of the vehicle to another location in the cargo area while the vehicle is in motion and prior to the vehicle reaching a delivery destination for the package. In an example implementation, the unmanned package moving apparatus includes a bed of rollers that are operated by servomotors under control of the computer.

A method includes: generating a three-dimensional grid of cells representing respective portions of an interior of a container, each cell having a status indicator defining an occupancy state of the corresponding portion of the container interior; during loading of the container: maintaining, for each of the cells, a current status indicator, controlling a depth sensor to capture a sequence of point clouds, each point cloud depicting the container interior, in response to each point cloud capture in the sequence, generating updated status indicators for the cells, based on (i) the point cloud, and on (ii) the current status indicators, replacing the current status indicators with the updated status indicators, measuring a current fullness of the container based on the current status indicators, and transmitting the current fullness to a computing device for at least one of display of the current fullness, or alert generation associated with the current fullness.

A method includes receiving target data for a paving project corresponding to a work period. The method also includes receiving sensor data from one or more components associated with the paving project, determining a progress value representing progress of the one or more components of the paving project, and determining a threshold progress value for a time period, the time period having a duration that is less than a duration of a work period. The method further includes determining that the progress value is less than the threshold progress value, generating at least one of an alarm or a recommendation, and sending the alarm or the recommendation to an electronic device.

A system includes a memory and at least one processor to determine a location of each vehicle of a plurality of vehicles that have freight capacity, determine a distance of each vehicle to a location of each uncovered shipment of a plurality of uncovered shipments, determine an estimated time of arrival for each vehicle to arrive at the location of each uncovered shipment of the plurality of uncovered shipments, determine a particular vehicle of the plurality of vehicles having a highest score that is selected to service a particular uncovered shipment of the plurality of uncovered shipments, the highest score based on the distance, the estimated time of arrival, and a pick up time for the particular uncovered shipment, and transmit a notification to a computing device of an operator of the particular vehicle that indicates that the particular vehicle is selected to service the particular uncovered shipment.

Systems and methods which provide shipping management system shipping documentation generation operation which spawns intelligent generation subprocesses are described. The intelligent generation subprocesses of embodiments facilitate autonomous shipping documentation generation functionality of a concatenated shipping documentation generation process. A user may initiate a shipping documentation generation process, whereby an intelligent generation subprocess is spawned, and thereafter the user may be freed to perform one or more independent operation and/or interaction with the shipping management system. One or more verifications, checks, warnings, and/or the like are suspended and one or more parameter, input, selection, and/or the like are defaulted for operation of an intelligent generation subprocess of embodiments. Embodiments implement a documentation queue to provide historical information with respect to intelligent generation subprocess operation.