Abstract: Examples provide an item storage cart for verifying correct item placement into containers on the item storage cart. A cart manager component outputs planogram data identifying a location of a selected item. Weight data generated by one or more weight sensors associated with the set of item storage containers is analyzed to verify whether a correct item is placed in a given storage container on the cart and/or verify a selected item is placed into a correct storage container. The cart manager component determines if an unselected item is removed from a storage container and/or if an unselected item is added to a storage container. A notification is output if an incorrect item is added to a cart, an incorrect item is removed from the cart, an item is added to the wrong container or removed from the wrong container.

Abstract: Systems, apparatuses, and methods are described herein for generating structured data from unstructured data using natural language processing to generate a secure medical dashboard. The present invention is configured to identify at least one data input, wherein the at least one data input comprises unstructured data; apply at least one NLP pipeline to the at least one data input; parse the unstructured data to generate a parsed unstructured dataset; identify a medical relevance attribute; generate a structured document comprising the at least one term and associated medical relevance attribute; correlate the at least one term comprising the positive medical attribute to a medical entity title; generate a medical dashboard interface component comprising the at least one term comprising the positive medical attribute and the medical entity title; transmit the medical dashboard interface component to a user device; and generate a secure medical dashboard on the user device.

Abstract: A solution for automated food selection includes: an order processing component operable to receive an order identifying an item; a selection component comprising: a first hyperspectral sensor operable to sense a reflection from the item and produce a sensor output based at least on the reflection; and a picking mechanism; a control component operable to: based at least on identification of the item, select a hyperspectral profile from a set of hyperspectral profiles; compare the sensor output with the selected hyperspectral profile; and based at least on the comparison, determine whether to select the item for fulfillment of the order, wherein the picking mechanism is operable to divert the item to a selection output based at least on a determination to select the item for fulfillment of the order; and a transport component operable to transport the item to an order storage zone.

Abstract: An automated container cutting system for cutting a container includes a cutting platform and a cutting tool held by the cutting platform. The cutting tool is configured to cut the container. The automated container cutting system includes a force feedback sensor operatively connected to the cutting tool such that the force feedback sensor is configured to measure resistive force exerted on the cutting tool. The automated container cutting system includes at least one processor communicatively coupled to the force feedback sensor. The processor is configured to receive resistive force data from the force feedback sensor. The resistive force data represents resistive force exerted on the cutting tool as the cutting tool pierces a wall of the container. The at least one processor is configured to determine whether the cutting tool has penetrated through the wall of the container using the received resistive force data.

Abstract: First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.

Abstract: Features are applied to a mathematical model to produce a cutting pattern for opening a container. The cutting pattern specifies which of one or more cutting tools is to be used and the location of where cuts are to be made on the container. The cutting pattern is sent to a container opening machine. The container opening machine is operated and the container cut and opened by the container opening machine according to the cutting pattern.

Abstract: System and method enable rapid prototyping of an Internet of Things (IoT) device equipped with a modem. The system creates an abstraction layer subsuming a modem AT command set, where the abstraction layer provides a higher-level functionality than the modem AT command set. A function associated with the abstraction layer includes multiple function calls to the modem AT command set. The system can receive an input indicating an instruction to initiate a connection between the modem and a telecommunication network. The system can invoke a particular function associated with the abstraction layer to establish the connection between the modem and the telecommunication network.

Abstract: First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.

Abstract: Autonomous carriers or totes that include vacuum units are provided. As the totes move or are moved through a warehouse carrying products, they collect debris. The debris can be analyzed at the tote, and actions can be performed based upon the analysis.

Abstract: Examples provide a system and method for autonomously placing items into non-rigid containers. An image analysis component analyzes image data generated by one or more cameras associated with picked items ready for bagging and/or a non-rigid container, such as, but not limited to, a bag. The image analysis component generates dynamic placement data identifying how much space is available inside the bag, bag tension, and/or contents of the bag. A dynamic placement component generates a per-item assigned placement for a selected item ready for bagging based on a per-bag placement sequence and the dynamic placement data. Instructions, including the per-item assigned placement designating a location within the interior of the non-rigid container to the selected item and an orientation for the selected item after bagging, is sent to at least one robotic device. The robotic device places the selected item into the non-rigid container in accordance with the instructions.

Abstract: A solution for automated food selection includes: an order processing component operable to receive an order identifying an item; a selection component comprising: a first hyperspectral sensor operable to sense a reflection from the item and produce a sensor output based at least on the reflection; and a picking mechanism; a control component operable to: based at least on identification of the item, select a hyperspectral profile from a set of hyperspectral profiles; compare the sensor output with the selected hyperspectral profile; and based at least on the comparison, determine whether to select the item for fulfillment of the order, wherein the picking mechanism is operable to divert the item to a selection output based at least on a determination to select the item for fulfillment of the order; and a transport component operable to transport the item to an order storage zone.

Abstract: An energy harvesting circuit is disclosed and comprises one or more electrical loads that consume direct current (DC) power, a rectifier, and a hybrid acoustic absorber. The rectifier comprises one or more active switching elements that are driven by a gate drive voltage. The hybrid acoustic absorber comprises a diaphragm and a voice coil. The diaphragm is constructed at least in part of a piezoelectric material. The piezoelectric material is configured to generate a diaphragm voltage in response to sound waves deforming the diaphragm. The diaphragm voltage is at least equal to the gate drive voltage to drive the one or more active switching elements of the rectifier. The voice coil is attached to the diaphragm and configured to generate a voice coil voltage that is less than the gate drive voltage of the one or more active switching elements.

Abstract: Autonomous carriers or totes that include vacuum units are provided. As the totes move or are moved through a warehouse carrying products, they collect debris. The debris can be analyzed at the tote, and actions can be performed based upon the analysis.

Abstract: A solution for automated food selection includes: an order processing component operable to receive an order identifying an item; a selection component comprising: a first hyperspectral sensor operable to sense a reflection from the item and produce a sensor output based at least on the reflection; and a picking mechanism; a control component operable to: based at least on identification of the item, select a hyperspectral profile from a set of hyperspectral profiles; compare the sensor output with the selected hyperspectral profile; and based at least on the comparison, determine whether to select the item for fulfillment of the order, wherein the picking mechanism is operable to divert the item to a selection output based at least on a determination to select the item for fulfillment of the order; and a transport component operable to transport the item to an order storage zone.

Abstract: First scanned images of the first container are received from a scanning device that show the contents of the interior of the first container before the first container is cut and opened. Second scanned images that are of the contents of the first container after the first container is cut and opened are also received. The images are analyzed and, based upon the analysis, selective modifications to the operating parameters of the container opening machine are determined and made.

Abstract: Examples provide a system and method for autonomously placing items into non-rigid containers. An image analysis component analyzes image data generated by one or more cameras associated with picked items ready for bagging and/or a non-rigid container, such as, but not limited to, a bag. The image analysis component generates dynamic placement data identifying how much space is available inside the bag, bag tension, and/or contents of the bag. A dynamic placement component generates a per-item assigned placement for a selected item ready for bagging based on a per-bag placement sequence and the dynamic placement data. Instructions, including the per-item assigned placement designating a location within the interior of the non-rigid container to the selected item and an orientation for the selected item after bagging, is sent to at least one robotic device. The robotic device places the selected item into the non-rigid container in accordance with the instructions.

Abstract: A parent tote container is segmented into smaller, child tote containers. Each of the child tote containers includes products that are commonly sold together and are removed from the tote containers at picker stations with the same type of picker mechanism. Items are moved from the child tote containers to a customer order tote container at a picker station.

Abstract: Systems and methods for automatically creating and managing electronic data tables are disclosed. The method includes receiving a metric request descriptor from a client device, the metric request descriptor including at least information for creating a metric query and an identifier of an electronic data table; automatically generating a custom metric query based on the information for creating the metric query and one or more predefined metric templates; creating the electronic data table based on the identifier of the electronic data table received in the metric request descriptor; applying the custom metric query to a data store storing a plurality of event records; extracting metric data from the data store based on the custom metric query; and storing the metric data in the electronic data table.

Abstract: A substrate has an elastomeric film having surfaces and a nonwoven web having fibers, wherein a plurality of fibers is partially embedded in one surface of the film. In addition, a substrate has an elastomeric film and a nonwoven web having fibers, wherein a plurality of fibers is partially embedded in one surface of the film, and wherein the substrate is essentially free of adhesives and film-based microfibers. A method for making a film/nonwoven composite includes providing an elastomeric film traveling in a machine direction; providing a nonwoven web traveling in the machine direction in face-to-face contact with the film, wherein the nonwoven web includes fibers; and impinging the elastomeric film with hydro jets such that at least some of the fibers become embedded in the film.

Abstract: Examples provide a tote conveyance system for autonomously conveying totes from a storage system to a pickup/receiving area via smart container transport carts. The smart container conveyance cart aligns with the induction station on the storage system. The system utilizes actuators to move totes onto the cart from an induction station on the storage system or move totes off the cart into the induction station. Loading or unloading of totes are performed in accordance with priorities assigned based on cold-chain compliance temperature thresholds associated with the contents of the totes, weights of the totes, and destination of totes.