Patent classifications
G06Q30/012
PERSONALIZED SOUND MANAGEMENT AND METHOD
A personalized sound management system for an acoustic space includes at least one transducer, a data communication system, one or more processors operatively coupled to the data communication system and the at least one transducer, and a medium coupled to the one or more processors. The processors access a database of sonic signatures and display a plurality of personalized sound management applications that perform at least one or more tasks among identifying a sonic signature, calculating a sound pressure level, storing metadata related to a sonic signature, monitoring sound pressure level dosage levels, switching to an ear canal microphone in a noisy environment, recording a user’s voice, storing the user’s voice in a memory of an earpiece device, or storing the user’s voice in a memory of a server system, or converting received text received in texts or emails to voice using text to speech conversion. Other embodiments are disclosed.
PERSONALIZED SOUND MANAGEMENT AND METHOD
A personalized sound management system for an acoustic space includes at least one transducer, a data communication system, one or more processors operatively coupled to the data communication system and the at least one transducer, and a medium coupled to the one or more processors. The processors access a database of sonic signatures and display a plurality of personalized sound management applications that perform at least one or more tasks among identifying a sonic signature, calculating a sound pressure level, storing metadata related to a sonic signature, monitoring sound pressure level dosage levels, switching to an ear canal microphone in a noisy environment, recording a user’s voice, storing the user’s voice in a memory of an earpiece device, or storing the user’s voice in a memory of a server system, or converting received text received in texts or emails to voice using text to speech conversion. Other embodiments are disclosed.
SYSTEMS AND METHODS FOR PROVIDING STATUS-BASED MAINTENANCE SCHEDULES
Systems, methods, and other embodiments are disclosed for automatically changing a maintenance strategy for an asset. In one embodiment, status data from an asset record of an asset to be maintained is read. The status data indicates a current status of the asset. A maintenance schedule record is selected from multiple maintenance schedule records based on the status data. The multiple maintenance schedule records are associated with a maintenance specification record of the asset. The selected maintenance schedule record is assigned to the asset record of the asset. The maintenance schedule record includes at least one trigger record including trigger data indicating when preventive maintenance is to be performed on the asset. A preventive maintenance work order record is transmitted, in accordance with a trigger record, to direct preventive maintenance to be performed on the asset.
BATTERY SERVICE PROVIDING SYSTEM AND METHOD
A battery service providing system and method, battery service providing system including a battery service server for collecting diagnostic analysis data including operation characteristic information of a battery and driving characteristic information of an electric vehicle from an electric vehicle control device and providing update information of a charging/discharging control logic of the battery according to the degree of degradation determined from the diagnostic analysis data to the electric vehicle control device, determining a residual value or a usage fee of the battery based on the determined degree of degradation, transmitting the usage fee or the residual value of the battery to an external server, or setting a warranty flag for the battery whose charging and discharging is controlled according to the update information of the charging/discharging control logic.
BATTERY SERVICE PROVIDING SYSTEM AND METHOD
A battery service providing system and method, battery service providing system including a battery service server for collecting diagnostic analysis data including operation characteristic information of a battery and driving characteristic information of an electric vehicle from an electric vehicle control device and providing update information of a charging/discharging control logic of the battery according to the degree of degradation determined from the diagnostic analysis data to the electric vehicle control device, determining a residual value or a usage fee of the battery based on the determined degree of degradation, transmitting the usage fee or the residual value of the battery to an external server, or setting a warranty flag for the battery whose charging and discharging is controlled according to the update information of the charging/discharging control logic.
SYSTEM AND METHOD FOR COVERING COST OF DELIVERING REPAIR AND MAINTENANCE SERVICES TO PREMISES OF SUBSCRIBERS INCLUDING PRICING TO RISK
Disclosed herein are methods and systems for enabling a host provider to provide a consumer homeowner with improved maintenance and repair services for items in the home, including under a subscription model that provides the consumer with predictable cost while assuring reliable services. Also disclosed herein are methods and systems for covering the cost of long-term repair and maintenance services for consumer and commercial subscribers through a host company's platform that may make use of information technology.
REGISTRATION OF A PRODUCT HAVING AN ELECTRONIC LOCK
One embodiment provides a method, including: utilizing at least one processor to execute computer code that performs the steps of: obtaining at least one image corresponding to packaging of a product having a warranty, wherein the packaging comprises a digital lock; transmitting the at least one image to a verification entity for packaging tamper detection; receiving an electronic key for unlocking the digital lock after the verification entity determines that the packaging has not been tampered; and providing registration information for the product to a warranty registration database, wherein the registration information comprises a date of registration, product information, and information associated with the electronic key. Other aspects are described and claimed.
ON-DEMAND TOOL KITS
An on-demand system for manufacturing service tools is provided. The system includes a digital manual including instructions for service/repair configured to be accessible by a computing device and a library containing one or more additive manufacturing files configured to be accessible by the computing device. An additive manufacturing printer is provided in communication with the computing device and configured to receive instructions therefrom based on the one or more additive manufacturing files. The system also includes a recycling device configured to recycle materials of items created by the additive manufacturing printer. The digital manual includes one or more links to the one or more additive manufacturing files of the library.
INTELLIGENT WARRANTY PRICING FRAMEWORK
In one aspect, an example methodology implementing the disclosed techniques includes, by a warranty system, receiving a customer-specific usage-related data for a product at a customer location and generating a feature vector for the product, wherein the feature vector represents one or more features from the customer-specific usage-related data. The method also includes, by the warranty system using a trained incident prediction module, predicting a number of future incidents for the product at the customer location based on the first feature vector. The method further includes, by the warranty system, determining a price for an extended warranty for the product based on the predicted number of future incidents for the product at the customer location.
INTELLIGENT WARRANTY PRICING FRAMEWORK
In one aspect, an example methodology implementing the disclosed techniques includes, by a warranty system, receiving a customer-specific usage-related data for a product at a customer location and generating a feature vector for the product, wherein the feature vector represents one or more features from the customer-specific usage-related data. The method also includes, by the warranty system using a trained incident prediction module, predicting a number of future incidents for the product at the customer location based on the first feature vector. The method further includes, by the warranty system, determining a price for an extended warranty for the product based on the predicted number of future incidents for the product at the customer location.