UAV Flight Setting Adaptation From Video Engagement Feedback
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Solution Overview
Problem
Unmanned aerial vehicles (UAVs) often have preconfigured flight control settings that are not individualized for each user, affecting the quality of captured images and videos, as they do not adapt to user preferences based on consumed content.
Innovation Solution
A system that determines user preferences for UAV flight control settings by analyzing consumption data from previously captured content, such as video segments, and adjusts settings accordingly, using a client/server architecture with components for authentication, consumption tracking, flight control setting management, and transmission of preferences to the UAV.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If preconfigured flight control settings are used in UAVs, then device complexity is reduced and ease of operation is improved, but adaptability to individual user preferences deteriorates
Solution Approach 1:
The system monitors user consumption behavior of captured content (videos and images) and uses this feedback to automatically adjust flight control settings. The server receives consumption information indicating user preference for certain types of content, determines preferred flight control settings based on this feedback, and transmits adjusted settings back to the UAV, creating a closed-loop adaptive system that resolves the contradiction between ease of operation and adaptability
Solution Approach 2:
The UAV system performs self-adjustment of flight control settings based on analyzed user consumption patterns. The server automatically determines preferred settings without requiring manual user configuration, and the UAV autonomously applies these settings, enabling the system to serve user preferences independently while maintaining ease of operation
2Adaptability or versatility
If manual manipulation of flight control settings is implemented, then adaptability to user preferences is improved, but device complexity and time consumption increase
Solution Approach 1:
The server proactively analyzes user consumption behavior and determines preferred flight control settings in advance, before the user would need to manually configure them. By performing this configuration action preliminarily and automatically, the system eliminates the time users would otherwise spend on manual manipulation while maintaining full adaptability to user preferences
Solution Approach 2:
The system automatically configures flight control settings based on user consumption patterns without requiring user intervention. The server performs the configuration task autonomously by analyzing consumption information and transmitting appropriate settings to the UAV, thereby achieving adaptability while eliminating time loss associated with manual manipulation
3Ease of operation
If preconfigured flight control settings are used, then ease of operation is maintained, but manufacturing precision of captured content quality deteriorates
Solution Approach 1:
The system uses consumption feedback to automatically optimize flight control settings for capturing high-quality content. By monitoring which types of content users prefer and determining the flight control settings that produced those preferred content types, the system automatically adjusts parameters to achieve optimal capture quality without requiring user expertise or manual configuration
Solution Approach 2:
The UAV system automatically configures optimal flight control settings for content capture based on analyzed user preferences. The server determines preferred settings that maximize content quality according to user consumption patterns and transmits these settings autonomously to the UAV, achieving manufacturing precision of content quality while maintaining ease of operation
Data Source
AI summary
Consumption information associated with a user consuming video segments may be obtained. The consumption information may define user engagement during a video segment and/or user response to the video segment. Sets of flight control settings associated with capture of the video segments may be obtained. The flight control settings may define aspects of a flight control subsystem for the unmanned aerial vehicle and/or a sensor control subsystem for the unmanned aerial vehicle. The preferences for the flight control settings of the unmanned aerial vehicle may be determined based upon the first set and the second set of flight control settings. Instructions may be transmitted to the unmanned aerial vehicle. The instructions may include the determined preferences for the flight control settings and being configured to cause the unmanned aerial vehicle to adjust the flight control settings to the determined preferences.