Abstract: Techniques are described for automating inventory management and monitoring at a storage facility. For example, a sensor system may be configured to capture sensor data associated with inventory stored at the storage facility. The sensor system may utilize the sensor data to extract information usable to monitor (e.g., assess damage), track, and/or order inventory.

Abstract: A system and devices for automating and computerizing audits, tracking, and error prevention associated with container packing events and, in particular, multi-container packing events at a storage facility, yard, warehouse, or the like. In some cases, the systems and devices may be configured to monitor and detect errors or issues with packing items and send alerts and control signals to agents, such as autonomous agents, to correct the detected errors.

Abstract: A system and devices for automating and computerizing audits, tracking, and error prevention associated with container packing events and, in particular, multi-container packing events at a storage facility, yard, warehouse, or the like. In some cases, the systems and devices may be configured to monitor and detect errors or issues with packing items and send alerts and control signals to agents, such as autonomous agents, to correct the detected errors.

Abstract: Techniques are described for automating and computerizing order cart audits to reduce the overall costs associated with shipping incorrect items, missing items, and/or additional items. In some cases, the system may be configured to perform an audit of a completed or filled order cart. The facility operator may pass the order cart through an audit area prior to loading the items on a vehicle for transport. During the audit, the system may capture sensor data associated with the order cart and identify each item present. The system may determine whether or not each item is part of the order and notify an operator accordingly.

Abstract: A system for generating a pixel map of a yard or facility in substantially real-time. The pixel map may be generated on-the-fly with virtual slots based on various vehicles and containers entering and exiting the yard or facility. In some cases, the pixel map may be utilized to track assets within the facility even if the physical identifier of the asset is unknown or the asset transitions between field of view of various image devices associated with the system.

Abstract: A system is discussed herein that is configured for extracting data from documents. In particular, the system may be utilized for automating and computerized checking of transit and shipping related documents. For example, the documents may include various data, such delivery dates, prices, inventory identification, personnel identification, container identification, customs documents, transport documents, a combination thereof, and the like.

Abstract: Techniques are described for automating the check in and check out process at a logistics facility. For example, a sensor system may be configured to capture sensor data associated with an approaching vehicle. The sensor system may utilize the sensor data to extract information usable to complete forms, assess damage, and authenticate the shipment.

Abstract: Techniques are described for providing an inventory management system that tracks inventory each time an item or transport handling unit is moved within a facility. In some cases, the system may include sensors mounted with a field of view associated with a forklift implement and processed to determine an identity and location of each collection and delivery event performed by the forklift operator.

Abstract: Techniques for detecting anomalies, issues, and/or damage associated with operations of a transportation/logistic facility, vehicles collecting and delivering assets to and from the facility, and containers associated with the operations and transportation of the assets. In some cases, the system may be configured to capture data associated with an operation using multiple sensor systems and to detect the anomalies based in part on the aggregated sensor data.