Crop Composition Detection Using Offset Image Detectors
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Solution Overview
Problem
Existing devices for detecting and determining the composition of crop material in grain tanks of agricultural harvesting machines suffer from inaccurate quality assessment due to separation of grain, damaged grain, and non-grain components caused by centrifugal forces, leading to incomplete detection of the crop material flow.
Innovation Solution
The implementation of at least two image detectors positioned equidistantly and offset by 180 degrees relative to each other, one perpendicularly to the top and one to the underside of the crop material flow, to improve image recognition and analysis, allowing for more accurate detection and determination of the crop material composition, including the adjustment of working assembly parameters to optimize grain quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a single image detector is used to monitor crop material flow, then the device complexity is low, but the measurement precision of crop material composition is insufficient due to separation of grain components by centrifugal forces
Solution Approach 1:
The detection system is divided into multiple image detectors positioned at different locations (top and underside of the crop material flow) to capture images from different perspectives. This segmentation allows each detector to focus on specific regions, and the combined data provides comprehensive composition analysis that overcomes the limitations of a single detector view.
Solution Approach 2:
The solution adds a spatial dimension to the detection system by placing image detectors at vertically separated positions (top and bottom views of the crop material flow). This multi-dimensional positioning enables observation of the separated grain components from different angles, allowing the system to reconstruct complete composition information that a single-plane detector cannot capture.
2Measurement precision
If multiple image detectors are positioned at different locations, then the detection accuracy of crop material composition improves, but the device complexity and cost increase
Solution Approach 1:
Multiple image detectors capturing images from different positions (top and underside views) are merged into a unified detection system. The control unit integrates the image data from all detectors to generate a comprehensive quality assessment, combining the strengths of each detector's specific viewing angle to achieve accurate composition determination.
Solution Approach 2:
The multi-detector system is designed to perform multiple functions simultaneously: monitoring grain composition, detecting contamination, assessing quality parameters, and providing feedback for process optimization. This universal approach allows the same detector configuration to serve various quality control needs without requiring separate specialized systems.
3Measurement precision
If image detectors are positioned to capture separated grain layers, then the detection of crop material composition becomes more accurate, but the difficulty of detecting and measuring increases due to the complex separation patterns
Solution Approach 1:
The control unit processes images from multiple detectors and provides feedback on the detected composition and quality parameters. This feedback mechanism allows the system to continuously monitor and adjust its detection strategy, identifying patterns in the separated grain layers and improving measurement accuracy over time while managing the complexity of analyzing multiple image sources.
Data Source
AI summary
A device for detection and determination of a composition of a bulk material has an image recording unit, a control unit, a memory unit and a selection unit to enable a qualified determination to be made, during a transfer of a crop material flow into a container of an agricultural harvesting machine, of a composition of a crop during processing of the crop material. The determination enables changing of adjustment parameters of working assemblies of the agricultural harvesting machine during the processing of the crop material. The image recording unit has at least two image detectors for recording images or image series of the crop material flow.


