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US 9,961,028 B2Granted
Automated image consolidation and prediction
OwnerMark Steven Ramseyinventor
Life of this patent
Estimating the term…
Abstract
A method and system for automatically consolidating images and generating associated predictions is provided. The method includes periodically monitoring email addresses for emails stored on an email server and subsequently locating an email comprising an image automatically captured from a remotely located video retrieval device locally storing the image. The image is automatically downloaded and extracted for the email. A date and time associated with the image is validated and the image is stored within a server. Metadata associated with the image is updated and the updated metadata is associated with external attributes associated with a location of the remotely located video retrieval device.
Claims20
An automated image consolidation method comprising:
- periodically monitoring, by a computer processor of a centralized server, email addresses stored on an email server, said email addresses storing emails;
- locating, by said computer processor based on results of said periodically monitoring, at least one email associated with an email address of said email addresses, wherein said at least one email comprises at least one image automatically captured from a remotely located video retrieval device locally storing said at least one image;
- automatically downloading in real time, by said computer processor from said email server in response to said locating, at least one email;
- automatically extracting, by said computer processor from said at least one email, said at least one image;
- validating, by said computer processor, a date and time associated with said at least one image;
- storing, by said computer processor within said centralized server, said at least one image;
- updating, by said computer processor in accordance with said remotely located video retrieval device, metadata associated said at least one image;
- associating, by said computer processor, said updated metadata with external attributes associated with a location of said remotely located video retrieval device;
- analyzing, by said computer processor, said at least one image and said updated metadata associated with said external attributes;
- automatically determining, by said computer processor based on results of said analyzing and execution of neural network analytics, a type of living entity existing in said at least one image;
- additionally analyzing, by said computer processor, historical images and associated metadata associated with additional external attributes, said historical images previously retrieved from said video retrieval device at a differing date and time with respect to said date and time associated with said at least one image;
- automatically analyzing, by said computer processor, past weather forecast data and future weather forecast data associated with weather at said remotely located video retrieval device;
- generating, by said computer processor based on results of said analyzing and said additionally analyzing, a prediction describing a predicted future occurrence of activity at a location surrounding said remotely located video retrieval device;
- presenting, by said computer processor to said user based on said prediction and via a customized Website or an electronic message, a probability of activity associated with said type of living entity occurring at said location surrounding said remotely located video retrieval device at specified time periods during a specified day with respect to additional probabilities of said activity associated with said type of living entity occurring at additional locations surrounding additional remotely located video retrieval devices, connected to said centralized server of at said specified time periods during said specified day.
11 more elements
A centralized server comprising a computer processor coupled to a computer-readable memory unit, said memory unit comprising instructions that when executed by the computer processor implements an automated image consolidation method comprising:
- periodically monitoring, by said computer processor, email addresses stored on an email server, said email addresses storing emails;
- locating, by said computer processor based on results of said periodically monitoring, at least one email associated with an email address of said email addresses, wherein said at least one email comprises at least one image automatically captured from a remotely located video retrieval device locally storing said at least one image;
- automatically downloading in real time, by said computer processor from said email server in response to said locating, at least one email;
- automatically extracting, by said computer processor from said at least one email, said at least one image;
- validating, by said computer processor, a date and time associated with said at least one image;
- storing, by said computer processor within said centralized server, said at least one image;
- updating, by said computer processor in accordance with said remotely located video retrieval device, metadata associated said at least one image;
- associating, by said computer processor, said updated metadata with external attributes associated with a location of said remotely located video retrieval device;
- analyzing, by said computer processor, said at least one image and said updated metadata associated with said external attributes;
- automatically determining, by said computer processor based on results of said analyzing and execution of neural network analytics, a type of living entity existing in said at least one image;
- additionally analyzing, by said computer processor, historical images and associated metadata associated with additional external attributes, said historical images previously retrieved from said video retrieval device at a differing date and time with respect to said date and time associated with said at least one image;
- automatically analyzing, by said computer processor, past weather forecast data and future weather forecast data associated with weather at said remotely located video retrieval device;
- generating, by said computer processor based on results of said analyzing and said additionally analyzing, a prediction describing a predicted future occurrence of activity at a location surrounding said remotely located video retrieval device;
- presenting, by said computer processor to said user based on said prediction and via a customized Website or an electronic message, a probability of activity associated with said type of living entity occurring at said location surrounding said remotely located video retrieval device at specified time periods during a specified day with respect to additional probabilities of said activity associated with said type of living entity occurring at additional locations surrounding additional remotely located video retrieval devices, connected to said centralized server of at said specified time periods during said specified day.
11 more elements
A computer program product, comprising a computer readable hardware storage device storing a computer readable program code, said computer readable program code comprising an algorithm that when executed by a computer processor of a work management computing system implements an automated image consolidation method comprising:
- periodically monitoring, by said computer processor, email addresses stored on an email server, said email addresses storing emails;
- locating, by said computer processor based on results of said periodically monitoring, at least one email associated with an email address of said email addresses, wherein said at least one email comprises at least one image automatically captured from a remotely located video retrieval device locally storing said at least one image;
- automatically downloading in real time, by said computer processor from said email server in response to said locating, at least one email;
- automatically extracting, by said computer processor from said at least one email, said at least one image;
- validating, by said computer processor, a date and time associated with said at least one image;
- storing, by said computer processor within said centralized server, said at least one image;
- updating, by said computer processor in accordance with said remotely located video retrieval device, metadata associated said at least one image;
- associating, by said computer processor, said updated metadata with external attributes associated with a location of said remotely located video retrieval device;
- analyzing, by said computer processor, said at least one image and said updated metadata associated with said external attributes;
- automatically determining, by said computer processor based on results of said analyzing and execution of neural network analytics, a type of living entity existing in said at least one image;
- additionally analyzing, by said computer processor, historical images and associated metadata associated with additional external attributes, said historical images previously retrieved from said video retrieval device at a differing date and time with respect to said date and time associated with said at least one image;
- automatically analyzing, by said computer processor, past weather forecast data and future weather forecast data associated with weather at said remotely located video retrieval device;
- generating, by said computer processor based on results of said analyzing and said additionally analyzing, a prediction describing a predicted future occurrence of activity at a location surrounding said remotely located video retrieval device;
- presenting, by said computer processor to said user based on said prediction and via a customized Website or an electronic message, a probability of activity associated with said type of living entity occurring at said location surrounding said remotely located video retrieval device at specified time periods during a specified day with respect to additional probabilities of said activity associated with said type of living entity occurring at additional locations surrounding additional remotely located video retrieval devices, connected to said centralized server of at said specified time periods during said specified day.
11 more elements
Dependencies are inferred from the claim text.