Stereo Vision Spout Alignment for Agricultural Unloading
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Solution Overview
Problem
Existing systems for unloading agricultural material between vehicles are prone to misalignment due to errors in GPS positioning and disruptions in imaging device operations, such as electromagnetic interference and lighting conditions, leading to inefficiencies in material transfer.
Innovation Solution
A stereo vision system that includes imaging devices on both vehicles to collect and process image data, determining the positions of the spout and container, and generating command data to align them accurately for efficient material transfer, using a combination of cameras, image processing modules, and actuators to adjust the spout and container alignment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If GPS receivers are used to maintain proper spacing between vehicles, then vehicle positioning is achieved, but positioning accuracy deteriorates due to electromagnetic interference, multipath propagation, and signal reception errors
Solution Approach 1:
The patent introduces an imaging device as an intermediary measurement tool to capture visual information of the receiving vehicle and spout. This intermediary system provides an alternative positioning method that is not susceptible to GPS signal interference, thereby resolving the contradiction between achieving position measurement and maintaining reliability in electromagnetic environments.
Solution Approach 2:
The patent replaces the electromagnetic GPS positioning system with an optical imaging-based positioning system. By using cameras to capture images and process them to determine relative positions, the system substitutes a vulnerable electromagnetic measurement system with a robust optical system that is immune to electromagnetic interference and multipath propagation issues.
2Loss of information
If imaging devices are used to observe vehicles in outdoor work areas, then visual information is collected, but operation stability deteriorates due to transitory sunlight, shading, dust, reflections, and lighting conditions
Solution Approach 1:
The patent implements feedback mechanisms where the imaging system continuously captures images and the processing module analyzes the image quality and lighting conditions. Based on this feedback, the system can adjust exposure parameters, trigger timing, and image processing algorithms to compensate for varying outdoor conditions, thereby maintaining reliable operation despite environmental disruptions.
Solution Approach 2:
The patent employs preprocessing techniques such as dust removal algorithms, reflection compensation, and lighting normalization that are applied beforehand to image data. These cushioning measures prepare the image processing system to handle common outdoor disruptions, ensuring stable operation by anticipating and compensating for environmental factors before they degrade image quality.
3Productivity
If manual alignment of spout and container is performed, then system complexity is reduced, but transfer efficiency deteriorates due to misalignment and positioning errors
Solution Approach 1:
The patent implements an automated alignment system where the imaging device captures images, the processing module determines relative positions and orientations, and the system automatically generates steering commands to align the spout with the container. This self-service alignment process eliminates the need for manual intervention, thereby increasing transfer efficiency while managing complexity through automated decision-making algorithms.
Solution Approach 2:
The patent dynamically adjusts alignment parameters such as vehicle steering angle, spout orientation, and relative positioning based on real-time image analysis. By continuously changing these parameters in response to measured conditions, the system achieves efficient material transfer while adapting to positioning errors and environmental variations, thereby improving productivity without requiring overly complex mechanical alignment mechanisms.
Data Source
AI summary
A spout is operably connected to a transferring material for transferring the agricultural material to the receiving vehicle. An imaging device faces towards the storage portion of the receiving vehicle and collects image data. A container module is adapted to determine a container position of the storage portion, or its container perimeter. A spout module is adapted to identify a spout of the transferring vehicle in the collected image data, or to determine a spout position. An alignment module is adapted to determine the relative position of the spout and the container position based on the collected image data and to generate command data or user interface data to facilitate placement of the spout and storage container in relative cooperative alignment for transferring of material from the transferring vehicle to the receiving vehicle.