View source for SkySafe, Inc. (20240257648). SYSTEMS AND METHODS FOR DRONE MONITORING, DATA ANALYTICS, AND MITIGATION CLOUD SERVICES USING EDGE COMPUTING simplified abstract

=SYSTEMS AND METHODS FOR DRONE MONITORING, DATA ANALYTICS, AND MITIGATION CLOUD SERVICES USING EDGE COMPUTING=


==Organization Name==

[[:Category:SkySafe, Inc.|SkySafe, Inc.]]


[[Category:SkySafe, Inc.]]

==Inventor(s)==

[[:Category:Brandon Fang-Hsuan Lo of San Diego CA (US)|Brandon Fang-Hsuan Lo of San Diego CA (US)]][[Category:Brandon Fang-Hsuan Lo of San Diego CA (US)]]

[[:Category:Scott Torborg of San Diego CA (US)|Scott Torborg of San Diego CA (US)]][[Category:Scott Torborg of San Diego CA (US)]]

[[:Category:Mike Spindel of San Diego CA (US)|Mike Spindel of San Diego CA (US)]][[Category:Mike Spindel of San Diego CA (US)]]

[[:Category:Paul Wicks of San Diego CA (US)|Paul Wicks of San Diego CA (US)]][[Category:Paul Wicks of San Diego CA (US)]]

[[:Category:Stephen Larew of San Diego CA (US)|Stephen Larew of San Diego CA (US)]][[Category:Stephen Larew of San Diego CA (US)]]

==SYSTEMS AND METHODS FOR DRONE MONITORING, DATA ANALYTICS, AND MITIGATION CLOUD SERVICES USING EDGE COMPUTING - A simplified explanation of the abstract==


This abstract first appeared for US patent application 20240257648 titled 'SYSTEMS AND METHODS FOR DRONE MONITORING, DATA ANALYTICS, AND MITIGATION CLOUD SERVICES USING EDGE COMPUTING

'''Simplified Explanation:'''
The patent application describes systems and methods for providing drone activity cloud services to cloud consumers using cloud and edge computing. This involves drone sensors detecting and identifying drones, cloud and edge servers aggregating drone activity data, and cloud consumers monitoring drone activities using cloud and edge devices.

* Drone sensors detect and identify drones.
* Cloud and edge servers aggregate drone activity data.
* Cloud consumers monitor drone activities using cloud and edge devices.

'''Key Features and Innovation:'''
* Drone monitoring service rendered by drone sensors and cloud/edge servers.
* Drone data analytics service reports statistics and predicted activities to cloud consumers.
* Drone mitigation service deactivates unauthorized drones collaboratively.

'''Potential Applications:'''
This technology can be used for drone surveillance, security, and traffic management purposes in various industries such as law enforcement, defense, and commercial drone operations.

'''Problems Solved:'''
This technology addresses the challenges of monitoring and managing drone activities, detecting unauthorized drones, and ensuring airspace safety and security.

'''Benefits:'''
* Enhanced drone surveillance and monitoring capabilities.
* Improved drone traffic management and airspace security.
* Efficient detection and mitigation of unauthorized drones.

'''Commercial Applications:'''
Title: "Drone Activity Cloud Services for Enhanced Surveillance and Security"
This technology can be commercially applied in industries such as defense, law enforcement, and commercial drone operations to enhance surveillance, security, and traffic management capabilities.

'''Prior Art:'''
Readers can explore prior art related to drone surveillance systems, drone detection technologies, and cloud-based drone monitoring services to understand the existing technologies in this field.

'''Frequently Updated Research:'''
Researchers are continuously working on improving drone detection and mitigation technologies, as well as enhancing cloud-based drone monitoring systems for better surveillance and security.

'''Questions about Drone Activity Cloud Services:'''
1. What are the key components of drone monitoring services described in the patent application?
2. How does the drone data analytics service benefit cloud consumers in monitoring drone activities?


==Original Abstract Submitted==

systems and methods for providing drone activity cloud services to cloud consumers using cloud and edge computing are provided. the drone monitoring service is rendered by drone sensors detecting and identifying drones, cloud and edge servers aggregating drone activity data from sensors and uas traffic management systems, and cloud consumers monitoring drone activities using cloud and edge devices to access the cloud. the drone data analytics service reports drone activity statistics, predicted drone activities, and abnormal behaviors to cloud consumers based on the statistics and behavior models obtained by machine learning and federated learning techniques. the drone mitigation service, when initiated by cloud consumers, determines how to optimally configure sensors and collaboratively send signals to deactivate unauthorized drones. moreover, data processing, artificial intelligence, mobility support, and traffic management functional units empower cloud and edge servers to support these cloud services.



[[Category:G08G5/00]]
[[Category:CPC_G08G5/0017]]