AI Swath Detection Using Camera Imaging
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Solution Overview
Problem
Existing devices for detecting swaths in agricultural areas face challenges due to irregularities from mass flow fluctuations and ground unevenness, which affect the reliability of swath detection, especially when using laser scanners.
Innovation Solution
Equipping the device with a camera and a computing unit utilizing artificial intelligence, specifically a trained neural network like Resnet18, to generate and evaluate images, allowing for the identification and positioning of swaths, and determining the vehicle's path for autonomous navigation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a laser scanner is used to create height profiles for swath detection, then distance measurement capability is provided, but detection reliability deteriorates due to irregularities from mass flow fluctuations and ground unevenness
Solution Approach 1:
The patent replaces the laser-based mechanical scanning system with a camera-based optical imaging system. Instead of using a laser scanner to create height profiles, the invention uses a camera to capture images of the swath, which are then processed by AI algorithms to detect swath position and characteristics. This substitution eliminates the problems caused by mass flow fluctuations and ground unevenness that affect laser scanner reliability.
Solution Approach 2:
The patent creates a visual copy (image) of the swath using a camera instead of a physical height profile using laser measurements. The image captures the visual appearance and position of the swath, which can be analyzed by AI to determine swath location without being affected by the physical irregularities that plague laser-based height profile methods.
2Measurement precision
If three-dimensional depth information is required for swath detection, then distance accuracy is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent uses a two-dimensional image copy of the swath instead of three-dimensional depth data. The camera captures a 2D image that contains sufficient visual information for swath detection, eliminating the need for complex 3D sensing systems while maintaining adequate detection capability through AI-based image analysis.
Solution Approach 2:
The patent extracts only the essential visual information needed for swath detection from the captured image, rather than processing complete three-dimensional depth data. The AI algorithm identifies swath position and characteristics by analyzing relevant features in the 2D image, discarding unnecessary depth information that would increase system complexity.
Data Source
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AI summary
A device for detecting a swath (3, 9) laid on an agricultural area to be cultivated comprises a camera (4) for generating an image of the swath (3, 9) laid on the area and a computing unit (6) which is configured to use artificial intelligence for evaluating the image, wherein the artificial intelligence is provided and configured to identify a swath of crops (3) in the image, and wherein the computing unit (6) is provided and configured to determine the position of the swath of crops (3) on the agricultural area to be cultivated.