Abstract: A method may include analyzing first images to determine an actual placement of first products displayed on shelves of a retail store; determining a deviation of an actual placement of some of the first products from the desired placement of products associated with a first planogram; receiving second images; analyzing the second images to determine an actual placement of the second products displayed on the shelves; identifying a deviation of the actual placement of some of the second products from the desired placement of products associated with the first planogram; using the second planogram to determine whether an arrangement associated with a second products conforms to the second planogram rather than to the first planogram; and when the arrangement associated with the second products conforms to the second planogram, avoiding issuance of a notification indicating a deviation relative to the first planogram.

Abstract: A system, including a body worn and/or implanted medical device, wherein the medical device is configured to receive and store data indicative of past treatment of a person who is the wearer and/or has been implanted with the medical device, and the medical device is configured to at least one of provide tissue stimulation to tissue of the person or sense phenomenon associated with the person.

Abstract: A method for identifying perishable products in a retail store and for automatically generating offers relating to the identified products is provided. The method may include receiving a set of images depicting perishable products of at least one product type displayed on at least one shelving unit in a retail store. The method may also include analyzing the set of images to determine information about a displayed inventory of the perishable products. The method may further include accessing a database storing information about the at least one product type. The method may also include using the information about the displayed inventory and the stored information about the at least one product type to determine at least one offer associated with the at least one product type. The method may further include providing the at least one offer to at least one customer of the retail store.

Abstract: Methods, systems, and computer-readable storage media for processing images captured in a retail store and automatically identifying a product shortage are provided. In one implementation, a system may access information describing a desired placement of products on at least one store shelf. The system may analyze a first image captured at a first time to determine that a first quantity of products exceeds a quantity threshold. The system may analyze a second image captured at a second time later than the first time to determine that a second quantity of products is below the quantity threshold. The system may avoid initiating an unscheduled action to cause restocking until a third time later than the second time. Based on a determination that a third quantity of products at the third time are below the quantity threshold, the system may provide information indicative of a product shortage.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: Call routing technology can route a current call from a person based on an analysis of call data related to a prior call from the same person. For example, based at least on a customer satisfaction score determined from call data related to a prior call, a call routing server can identify one or more persons to whom a current call from the same person should be routed. Next, the call routing server can route the current call to one of the identified customer service representatives.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.

Abstract: A system for reducing product shortage durations in retail stores based on analysis of image data is provided. The system may comprise: a communication interface configured to receive image data from retail stores indicative of a product shortage of a product type relative to information describing a placement of products of a product type on a store shelf; and at least one processor configured to: analyze the image data to detect occurrences of product shortages of the product type in the retail stores and determine durations associated with the occurrences; identify a common factor contributing to the duration of part of the occurrences of the product shortages; determine an action, associated with the at least one common factor, for potentially reducing product shortage durations of future shortages of the product type in the retail stores; and provide information associated with the identified action to an entity.

Abstract: A method of estimating the probability of a seizure in a subject, the method comprising: receiving historical data associated with epileptic events experienced by the subject over a first time period, the historical data comprising physiological data associated with each epileptic event and a time at which each epileptic event occurred; generating a temporal probability model of future epileptic events based on the time of each of the epileptic events, the temporal probability model representing a probability of a future seizure occurrence in each of a plurality of time windows; generating a probabilistic model based on the physiological data associated with each epileptic event; weighting the probabilistic model based on the temporal probability model to generate a weighted probabilistic model of future seizure activity; and outputting an estimate of seizure probability in the subject using the weighted probabilistic model.

Abstract: Call routing technology can route a current call from a person based on an analysis of call data related to a prior call from the same person. For example, based at least on a customer satisfaction score determined from call data related to a prior call, a call routing server can identify one or more persons to whom a current call from the same person should be routed. Next, the call routing server can route the current call to one of the identified customer service representatives.

Abstract: A method of estimating the probability of a seizure in a subject, the method comprising: receiving historical data associated with epileptic events experienced by the subject over a first time period, the historical data comprising physiological data associated with each epileptic event and a time at which each epileptic event occurred; generating a temporal probability model of future epileptic events based on the time of each of the epileptic events, the temporal probability model representing a probability of a future seizure occurrence in each of a plurality of time windows; generating a probabilistic model based on the physiological data associated with each epileptic event; weighting the probabilistic model based on the temporal probability model to generate a weighted probabilistic model of future seizure activity; and outputting an estimate of seizure probability in the subject using the weighted probabilistic model.

Abstract: A method comprises determining historical data associated with a subject experiencing epileptic events over a first time period, the historical data comprising non-EEG physiological data recorded over the first time period, and a time at which epileptic events occurred during the first time period. The method further comprises extracting from the non-EEG physiological data, one or more temporal models indicative of a subject specific cycle; and generating one or more temporal probabilistic models based on the respective one or more temporal models, the non-EEG physiological data, and the times at which each epileptic event occurred, wherein each temporal probabilistic model is representative of a probability of future seizure activity in each of a plurality of time windows. The method further comprises providing the one or more temporal probabilistic models for determining an estimate of seizure probability in the subject for one or more of the plurality of time windows.

Abstract: A system for processing images may include a processor configured to receive one or more images captured in a retail store and depicting a plurality of products displayed on at least one store shelf. The processor may also be configured to analyze the one or more images to determine at least one task associated with a store shelf. The processor may further be configured to determine an incentive for completing the at least one task based on a property of the store shelf, wherein the incentive is intended for a non-employee individual associated with the retail store. The processor may also be configured to provide an offer to at least one individual non-employee individual associated with the retail store, the offer including receiving the incentive in response to completing the at least one task.

Abstract: A method for identifying perishable products in a retail store and for automatically generating offers relating to the identified products is provided. The method may include receiving a set of images depicting perishable products of at least one product type displayed on at least one shelving unit in a retail store. The method may also include analyzing the set of images to determine information about a displayed inventory of the perishable products. The method may further include accessing a database storing information about the at least one product type. The method may also include using the information about the displayed inventory and the stored information about the at least one product type to determine at least one offer associated with the at least one product type. The method may further include providing the at least one offer to at least one customer of the retail store.

Abstract: Systems and methods for automatically determining options for store execution based on shelf capacity are provided. In one implementation, at least one processor is configured to receive a set of images depicting a first plurality of products from a particular product type displayed on a shelving unit in a retail store; analyze the set of images to identify a portion of the shelving unit associated with the particular product type; determine a product capacity for the portion of the shelving unit; access stored data about a second plurality of products from the particular product type, wherein each of the second plurality of products is located separately from the shelving unit; use the product capacity for the portion of the shelving unit and the accessed data to generate a suggestion for improving store execution; and provide the at least one suggestion for improving store execution.

Abstract: A method may include analyzing first images to determine an actual placement of first products displayed on shelves of a retail store; determining a deviation of an actual placement of some of the first products from the desired placement of products associated with a first planogram; receiving second images; analyzing the second images to determine an actual placement of the second products displayed on the shelves; identifying a deviation of the actual placement of some of the second products from the desired placement of products associated with the first planogram; using the second planogram to determine whether an arrangement associated with a second products conforms to the second planogram rather than to the first planogram; and when the arrangement associated with the second products conforms to the second planogram, withholding issuance of a notification indicating a deviation relative to the first planogram.

Abstract: A system for reducing product shortage durations in retail stores based on analysis of image data is provided. The system may comprise: a communication interface configured to receive image data from retail stores indicative of a product shortage of a product type relative to information describing a placement of products of a product type on a store shelf; and at least one processor configured to: analyze the image data to detect occurrences of product shortages of the product type in the retail stores and determine durations associated with the occurrences; identify a common factor contributing to the duration of part of the occurrences of the product shortages; determine an action, associated with the at least one common factor, for potentially reducing product shortage durations of future shortages of the product type in the retail stores; and provide information associated with the identified action to an entity.

Abstract: A system for processing images captured in a retail store and automatically identifying a product shortage is provided. The system may comprise at least one processor configured to: access information describing a placement of products; receive image data from an image sensor; analyze a first image captured at a first time to determine that a first quantity of products exceeds a quantity threshold; analyze a second image captured at a second time to determine that a second quantity is below the quantity threshold; based on the determination that the first quantity exceeds the quantity threshold, avoid initiating an unscheduled action to cause restocking the store shelf with products until a third time; analyze a third image captured at the third time to determine that a third quantity is below the quantity threshold; and based on the determination, provide information indicative of a product shortage at the store shelf.

Abstract: A system for identifying perishable products in a retail store based on analysis of image data and for automatically generating suggestions relating to the identified products is provided. The system may comprise at least one processor configured to: receive a set of images depicting a plurality of perishable products displayed on at least one shelving unit in a retail store; analyze the set of images to determine information about a displayed inventory of the plurality of perishable products; obtain information about additional perishable products scheduled to be displayed on the at least one shelving unit; use the information about the displayed inventory and the information about the additional perishable products to determine at least one suggestion regarding placement of perishable products in the retail store; and provide the at least one suggestion to an entity associated with the retail store.