International business machines corporation (20240201697). UNMANNED AERIAL VEHICLE DEPLOYMENT PARAMETER MODIFICATION simplified abstract

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UNMANNED AERIAL VEHICLE DEPLOYMENT PARAMETER MODIFICATION

Organization Name

international business machines corporation

Inventor(s)

Martin G. Keen of Cary NC (US)

Jana H. Jenkins of Raleigh NC (US)

Xin Wang of Chappaqua NY (US)

Jennifer A. Mallette of Vienna VA (US)

UNMANNED AERIAL VEHICLE DEPLOYMENT PARAMETER MODIFICATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240201697 titled 'UNMANNED AERIAL VEHICLE DEPLOYMENT PARAMETER MODIFICATION

Simplified Explanation

The patent application describes a method for analyzing data collected by a UAV in a working environment to detect disruptions caused by the UAV to entities within the environment, and adjusting deployment parameters based on the analysis.

  • The method involves obtaining observational data from a UAV deployed in a working environment.
  • The data is analyzed to identify disruptions caused by the UAV to entities within the environment.
  • Deployment parameters are adjusted based on the analysis of the data.

Key Features and Innovation

  • Utilizes observational data from a UAV to detect disruptions in a working environment.
  • Allows for real-time analysis of UAV impact on entities within the environment.
  • Enables adjustment of deployment parameters to minimize disruptions caused by the UAV.

Potential Applications

The technology can be applied in various industries such as construction, agriculture, surveillance, and disaster response.

Problems Solved

  • Helps in identifying disruptions caused by UAVs in a working environment.
  • Allows for proactive adjustment of deployment parameters to mitigate disruptions.

Benefits

  • Improves efficiency and safety in working environments with UAV deployment.
  • Enhances the overall effectiveness of UAV operations in various industries.

Commercial Applications

  • Title: "Optimizing UAV Deployment in Working Environments"
  • The technology can be used in industries such as construction, agriculture, and surveillance for efficient and safe UAV operations.
  • Market implications include increased productivity, reduced downtime, and improved data collection capabilities.

Questions about UAV Deployment in Working Environments

How can this technology benefit industries like construction and agriculture?

This technology can improve efficiency and safety in these industries by detecting disruptions caused by UAVs and adjusting deployment parameters accordingly.

What are the potential market implications of optimizing UAV deployment in working environments?

The market implications include increased productivity, reduced downtime, and improved data collection capabilities in various industries.


Original Abstract Submitted

a computer-implemented method, in accordance with one embodiment, includes obtaining observational data from an unmanned aerial vehicle (uav) deployed in a working environment, the working environment including a plurality of entities carrying out tasks within the working environment. the data is analyzed to detect a disruption caused by the uav to one or more of the entities within the working environment during the deployment. a parameter of a deployment is adjusted based on the analysis of the obtained data.