Corn Head Row Unit Jam Detection Using Vision-Based Crop Buildup Sensing
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Solution Overview
Problem
Agricultural harvesters face challenges in detecting jammed row units, which can lead to slip clutch damage due to overheating, as the noise from slipping clutches is often masked by the harvester's operational noise, making it difficult for operators to notice the issue in time.
Innovation Solution
A perception system equipped with RGBD sensors and a processor that collects and processes image data to detect excessive crop buildup in front of row units, generating notifications to the operator when a jammed condition is identified, allowing for timely intervention to prevent slip clutch damage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If operators rely on auditory detection of slipping clutch noise, then they can detect jammed row units, but the detection reliability deteriorates because the clutch noise is masked by harvester operational noise
Solution Approach 1:
The patent replaces the mechanical/acoustic detection method (listening to clutch noise) with an optical sensing system. Vision sensors capture images of crop buildup, and image processing algorithms automatically detect jammed row units, eliminating the unreliability of auditory detection in noisy environments.
Solution Approach 2:
The patent introduces an intermediary detection method - visual detection of crop buildup before it reaches the clutch. The system detects the presence and accumulation of crop material in front of row units, serving as an early warning indicator that precedes clutch slippage, thereby improving detection reliability before the harmful noise masking occurs.
2Reliability
If operators continuously monitor row unit operation, then they can detect jammed conditions early, but the operational complexity increases due to the need for constant monitoring
Solution Approach 1:
The system performs self-monitoring through automated vision sensors and image processing algorithms that continuously analyze crop buildup conditions without requiring operator intervention. The notification system automatically alerts operators only when jammed conditions are detected, eliminating the need for constant manual monitoring while maintaining high detection reliability.
Solution Approach 2:
The patent implements a feedback loop where vision sensors continuously monitor crop buildup, the image processing system analyzes the data, and the notification system provides feedback to operators when jammed conditions are detected. This automated feedback mechanism enables early detection without increasing operational complexity, as the system self-regulates and communicates only when necessary.
3Productivity
If slip clutch disengagement is allowed to continue indefinitely, then the drive shaft can continue rotating, but the slip clutch deteriorates due to overheating and damage
Solution Approach 1:
The system takes preliminary action by detecting crop buildup in front of row units before the slip clutch actually disengages. By identifying the presence and accumulation of crop material early, the system provides advance warning that allows operators to clear jams before clutch damage occurs, preserving clutch durability while maintaining continuous drive shaft operation.
Solution Approach 2:
The patent applies preliminary anti-action by preventing the harmful effect of clutch overheating before it occurs. The vision-based detection system identifies jammed conditions and alerts operators in advance, enabling them to take corrective action (clearing the jam) before the slip clutch engages and begins to overheat, thereby protecting the clutch from deterioration.
Data Source
AI summary
A perception system coupled to a harvesting head that includes row units, and slip clutches configured to couple the row units to a drive shaft and automatically disengage a jammed row unit. The perception system includes vision sensors collecting image data in front of the head, and a processor that processes the image data, and notifies the operator when it detects excessive crop buildup in front of one of the row units based on the image data. The perception processor can activate a notification device, and it can indicate which row unit has the detected crop buildup. The vision sensors can be positioned to have separate or overlapping fields of view covering the row units. A method of collecting image data in front of the row units, processing the image data to detect excessive crop buildup, and notifying the operator of detected buildups.