3D Camera Device for Agricultural Implement Geometry Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for self-propelled agricultural machines face challenges in efficiently detecting and evaluating the geometry and kinematics of agricultural attachments for precise control and regulation, leading to increased operational effort and suboptimal automation.
Innovation Solution
A 3D camera device generates a three-dimensional model of the agricultural implement, distinguishing attachment and non-attachment pixels, and determines attachment points for the control and regulating device, reducing data acquisition effort and enhancing automatic machine recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional camera systems are used to detect agricultural attachments, then detection capability is limited, but operational effort increases and automation is suboptimal
Solution Approach 1:
The patent replaces conventional 2D camera systems with a 3D camera system that captures spatial information in three dimensions. This substitution enables automatic generation of 3D models of agricultural attachments, eliminating the need for manual measurement and data input operations, thereby improving automation efficiency while reducing operational effort
Solution Approach 2:
The 3D camera system creates a digital 3D copy of the agricultural attachment by capturing images from multiple angles and generating a three-dimensional model. This digital copy contains all geometric and kinematic information needed for control and regulation, replacing the need for physical measurements and manual data entry
2Measurement precision
If detailed geometry and kinematics data are acquired manually, then measurement precision is high, but data acquisition effort and time increase
Solution Approach 1:
The 3D camera system performs preliminary action by automatically capturing images and generating the 3D model before the agricultural machine begins operation. The attachment geometry and kinematics data are acquired in advance through automated imaging, eliminating the need for time-consuming manual measurements during field operations
Solution Approach 2:
Manual measurement tools and methods are replaced with an automated 3D imaging system that captures geometric data rapidly. The 3D camera device automatically processes images to extract precise attachment geometry and kinematics information, maintaining measurement precision while dramatically reducing data acquisition time
3Difficulty of detecting and measuring
If 3D camera systems are implemented, then detection capability and automation are improved, but device complexity increases
Solution Approach 1:
The 3D camera system is designed as a universal device that can detect various types of agricultural attachments with different geometries and configurations. The same 3D imaging and processing system handles multiple attachment types by generating 3D models and automatically identifying relevant geometric and kinematic parameters, improving detection capability without proportionally increasing system complexity
Solution Approach 2:
The 3D camera system performs self-service by automatically processing captured images to generate 3D models and extract attachment parameters without requiring complex manual intervention. The system autonomously identifies attachment geometry, determines kinematics data, and prepares control information, reducing the operational complexity despite the advanced detection capabilities
Data Source
Figure 1
Figure 2
AI summary
The present invention relates to a 3D camera device (1) for generating a data set for a control and/or regulating device (2) of a self-propelled agricultural machine (3) which has an agricultural implement (4). The present invention is based on the general idea that the 3D camera device (1) is designed and configured to generate a three-dimensional model of the agricultural implement (4) and to define implement points (5) of the implement (4) in this three-dimensional model of the agricultural implement (4) for the data set of the control and/or regulating device (2) of the agricultural machine (3).