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Microsoft technology licensing, llc (20240282097). CLOUD MODEL ORCHESTRATION OF SPACEBORNE DATA simplified abstract

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CLOUD MODEL ORCHESTRATION OF SPACEBORNE DATA

Organization Name

microsoft technology licensing, llc

Inventor(s)

George Taylor Corbett of Rockville MD (US)

CLOUD MODEL ORCHESTRATION OF SPACEBORNE DATA - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240282097 titled 'CLOUD MODEL ORCHESTRATION OF SPACEBORNE DATA

The disclosed technology involves orchestrating cloud models for data from constrained-environment devices. In one example, on-cloud models and reference embeddings are stored on a distributed system. Images from sensors on external devices are received and stored as image tiles with corresponding embeddings. Requests associated with specific models are received, and the system determines whether to execute the model on each image tile based on the embeddings.

  • Cloud model orchestration for constrained-environment device data
  • Storage of on-cloud models and reference embeddings
  • Generation and storage of image tiles and embeddings
  • Execution of models on image tiles based on embeddings
  • Integration of sensor data from external devices

Potential Applications: This technology can be applied in various industries such as IoT, smart devices, surveillance systems, and image recognition software.

Problems Solved: Efficient execution of cloud models on data from constrained-environment devices, seamless integration of sensor data, and improved decision-making based on image analysis.

Benefits: Enhanced data processing capabilities, improved accuracy in model execution, optimized resource utilization, and real-time decision-making.

Commercial Applications: Title: Cloud Model Orchestration Technology for IoT Devices This technology can be utilized in IoT devices, smart home systems, security cameras, and industrial automation for enhanced data analysis and decision-making processes.

Questions about Cloud Model Orchestration Technology: 1. How does this technology improve the efficiency of executing cloud models on constrained-environment device data? 2. What are the potential implications of this technology in the field of image recognition and surveillance systems?

Frequently Updated Research: Stay updated on the latest advancements in cloud model orchestration, image analysis, and IoT integration for constrained-environment devices.


Original Abstract Submitted

the disclosed technology is generally directed to cloud model orchestration of constrained-environment-device data. in one example of the technology, on a first distributed system, on-cloud models are stored. for each on-cloud model, a corresponding set of reference embeddings is stored. images obtained from sensors onboard at least one constrained-environment device that is external to the first distributed system are received. image tiles are stored such that the image tiles include, for each image, evenly-spaced portions of the image. image embeddings generated via an embedding-generation model from the image tiles are stored. a request that is associated with a first model of the on-cloud models is received. using the set of reference embeddings for the first model and the image embeddings, for each image tile, whether the first model should be executed on the image tile is determined. the first model is executed on the determined image tiles.

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