UAV Package Presence Validation Using Visual and Tactile Sensing
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Solution Overview
Problem
Existing UAV aerial delivery systems face challenges in accurately detecting and validating the presence of packages, including false negatives due to adverse conditions, and ensuring the correct package is attached and detached at appropriate times during various mission segments.
Innovation Solution
A hybrid approach combining visual perception signals from image analysis with tactile perception signals from on-board sensors, including winch sensors, to monitor tether operation and package attachment, enhancing accuracy and reliability of package detection and validation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If visual perception signals alone are used for package detection, then device complexity is reduced, but measurement precision deteriorates due to false negatives from adverse conditions
Solution Approach 1:
The patent combines visual perception signals from cameras with tactile perception signals from on-board sensors (including winch sensors) to create a hybrid detection system. This merging of multiple sensing modalities resolves the contradiction by maintaining low individual component complexity while achieving high overall detection accuracy through signal fusion, eliminating false negatives that occur with visual-only systems.
Solution Approach 2:
The patent introduces tactile sensors as intermediary elements that mediate between the package and the detection system. These sensors provide indirect tactile feedback about package presence and attachment status, complementing direct visual observation and resolving the reliability issues of visual-only detection in adverse conditions.
2Reliability
If hybrid visual and tactile perception signals are used, then package detection reliability is improved, but device complexity increases
Solution Approach 1:
The patent merges visual cameras and tactile sensors into an integrated detection system where both sensor types work simultaneously. The complexity increase is justified by the substantial reliability improvement, as the system can cross-validate signals from multiple sources to confirm package presence and correct attachment, reducing false positives and negatives.
Solution Approach 2:
The patent implements feedback loops where tactile sensor signals continuously monitor package attachment status and provide real-time validation to the control system. This feedback mechanism enhances reliability by allowing the system to detect and respond to attachment errors, package loss, or unauthorized package changes during flight missions.
3Reliability
If real-time package validation is performed during flight, then delivery safety is improved, but loss of time increases due to additional validation steps
Solution Approach 1:
The patent performs package validation continuously throughout the flight mission using ongoing visual and tactile monitoring, rather than performing discrete validation checks at specific intervals. This continuous validation approach detects package issues immediately when they occur, preventing safety incidents while minimizing overall validation time through real-time detection.
Solution Approach 2:
The patent performs preliminary package validation before flight departure using visual inspection and tactile sensing to confirm correct package attachment. This preliminary check prevents invalidations during flight, reducing the need for time-consuming mid-flight validation and allowing faster mission execution while maintaining safety.
Data Source
AI summary
A technique for validating a presence of a package carried by an unmanned aerial vehicle (UAV) includes: capturing an image of a scene below the UAV with a camera mounted to the UAV and oriented to face down from the UAV; analyzing the image to identify whether the package is present in the image; and determining whether the package is attached to the UAV, via a tether extending from an underside of the UAV, based at least on the analyzing of the image.