Modular Camera System for Aerial Vehicles
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Solution Overview
Problem
Existing aerial imaging systems, particularly those used in agricultural applications, face challenges in adapting to varying spectral, optical, and sensing requirements due to different plant types, growth stages, and seasons, leading to inefficiencies in data collection and analysis.
Innovation Solution
A modular camera system for aerial vehicles that allows for the interchangeable use of camera modules with distinct spectral, optical, and sensing characteristics, enabling the collection of diverse data by swapping modules based on specific application needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple camera systems with different spectral and optical characteristics are used to meet varying agricultural imaging needs, then the adaptability and versatility of the imaging system is improved, but the device complexity, size, and cost increase
Solution Approach 1:
The imaging system is segmented into a permanent camera housing and interchangeable camera modules. Each module contains specific spectral, optical, and sensing components that can be independently selected and swapped based on application requirements. This segmentation allows the system to achieve multiple imaging capabilities through modular combinations rather than integrating all capabilities into a single complex system.
Solution Approach 2:
The camera housing is designed as a universal platform that can accommodate multiple types of camera modules with different spectral and optical characteristics. The standardized mounting interface and electrical connections enable a single housing to support various sensing capabilities including different spectral bands, resolutions, and field of view options, making the system multi-functional without increasing overall complexity.
2Device complexity
If a single camera system is designed to handle all spectral and optical requirements, then the device complexity is reduced, but the adaptability to different plant types, growth stages, and seasons deteriorates
Solution Approach 1:
The system transitions from a static, fixed-configuration camera to a dynamic, reconfigurable system. The ability to swap camera modules allows the imaging characteristics to be dynamically adjusted based on current agricultural needs, such as changing spectral requirements for different plant growth stages or seasonal variations, while maintaining a simple permanent housing structure.
3Measurement precision
If high-resolution imagery with low GSD is used for detailed plant analysis, then the measurement precision is improved, but the device complexity and cost increase
Solution Approach 1:
Different camera modules are designed with specialized local qualities optimized for specific measurement tasks. For example, certain modules incorporate lenses and sensors optimized for high-resolution imaging with low GSD when detailed plant analysis is required, while other modules may be optimized for broader spectral coverage or different field of view requirements. Each module's components are locally optimized for its specific function rather than compromising overall design for universal performance.
Data Source
AI summary
An aerial vehicle system, such as an unmanned aerial vehicle, that includes a camera system with replaceable camera modules that have different spectral, optical and/or sensing characteristics from one another. By replacing one camera module with another camera module, different information can be gathered and analyzed by the camera system of the aerial vehicle system.