Stereo Vision Spout Alignment for Agricultural Unloading
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Solution Overview
Problem
Existing systems for unloading agricultural material from vehicles face challenges due to errors in GPS positioning caused by electromagnetic interference, multipath propagation, and low signal strength, leading to misalignment issues during the transfer process.
Innovation Solution
A machine vision-augmented guidance system that uses stereo imaging devices and image processing to determine the relative position of the spout and storage portion, generating command data for alignment and ensuring accurate transfer, even in conditions where GPS data is unreliable.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If GPS receivers are used to maintain proper spacing between vehicles, then automated control can be achieved, but positioning accuracy deteriorates due to electromagnetic interference, multipath propagation, and low signal strength
Solution Approach 1:
The patent introduces an imaging device as an intermediary measurement tool between the GPS system and the vehicle spacing control. When GPS positioning accuracy deteriorates, the imaging device captures images of the receiving vehicle, and image processing algorithms calculate the relative position and spacing, serving as a mediator to maintain automated control accuracy
Solution Approach 2:
The system implements feedback by continuously monitoring GPS signal quality and switching between GPS-based spacing control and imaging-device-based spacing control. The mode controller receives feedback on GPS operational status and adjusts the control mode accordingly, ensuring positioning accuracy is maintained through adaptive feedback mechanisms
2Productivity
If GPS-based position data is used for spout control, then automated unloading can be performed, but alignment precision deteriorates due to GPS errors and discontinuities
Solution Approach 1:
The imaging device serves as an intermediary measurement tool that directly observes the spatial relationship between the spout and receiving vehicle. Image processing algorithms extract precise alignment information from images, acting as a mediator to achieve accurate spout control and material transfer alignment independent of GPS errors
Solution Approach 2:
The patent replaces the GPS-based mechanical positioning system with an optical imaging and image processing system for alignment determination. This substitution uses optical fields and computational algorithms instead of radio frequency positioning, achieving superior alignment precision for spout control
3Device complexity
If manual control mode is used for spout operation, then system complexity is reduced, but unloading productivity decreases due to operator workload and response time
Solution Approach 1:
The system implements self-service by automatically determining spacing and alignment using imaging devices and image processing algorithms. The mode controller autonomously switches between GPS-based and imaging-based control modes, and the spout control system automatically adjusts positioning without operator intervention, maintaining high productivity while managing complexity through automated decision-making
Data Source
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AI summary
A mode controller (225) determines whether to use an automated control mode of the spout or operator-directed manual control mode of the spout, based on a first operational status of a first location determining receiver (42) associated with the propelling vehicle, a second operational status of a second location determining receiver (142) associated with the harvesting vehicle, a third operational status of the imaging device or devices (10, 12). In the automated control mode, an image processing module (18) is adapted to facilitate the determination of the relative position of the spout and the storage portion and to generate command data place the storage portion and spout in relative cooperative alignment for transferring of material into the storage portion.