Abstract: Techniques are described herein for leveraging an augmented reality headset to facilitate improved loading of packages into vessels at various stages of package distribution. A method includes: identifying a heterogeneous plurality of packages and a vessel into which the heterogeneous plurality of packages is to be loaded; based on identifying the heterogeneous plurality of packages and the vessel, identifying an arrangement of the heterogeneous plurality of packages within an interior of the vessel; and for each package in the heterogeneous plurality of packages: performing object recognition on the package, using an augmented reality (AR) headset; and based on identifying the arrangement of the heterogeneous plurality of packages and further based on performing object recognition on the package, providing, using the AR headset, a visual annotation corresponding to the package, the visual annotation indicating a position for the package within the interior of the vessel.

Abstract: Techniques are described herein for guidance packing of vessels. In various implementations, a heterogeneous plurality of packages to be loaded into an interior of a vessel may be identified. In some implementations, physical characteristics of the heterogeneous plurality of packages may be determined on an individual package basis. Data indicative of the physical characteristics of the heterogeneous plurality of packages may be applied as input across a machine learning model to generate one or more outputs. The machine learning model may be trained based on historical examples of vessels being loaded with heterogeneous pluralities of packages. Based on one or more of the outputs, arrangement(s) of the heterogeneous plurality of packages within the interior of the vessel may be identified. Data indicative of one or more of the arrangements may be provided to one or more downstream computer-based actions.