Multi-Modal Seed Imaging System for High-Precision Characterization
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Solution Overview
Problem
Existing seed image analysis systems are limited in detecting size, shape, and appearance of seeds, and fail to collect statistically significant data for robust data models, hindering high-throughput analysis in the seed breeding industry.
Innovation Solution
A seed imaging system utilizing multiple imaging modalities, including hyperspectral reflectance cameras, 2D and 3D cameras, and X-ray imaging, combined with a seed transfer station and conveyor belt for high-precision imaging and data acquisition, enabling comprehensive characterization of seed characteristics such as color, size, shape, texture, and internal composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If prior image analysis systems are used, then seed imaging can be performed, but the ability to detect size, shape, and appearance of seeds is limited
Solution Approach 1:
The patent combines multiple imaging modalities (hyperpectral imaging, 2D imaging, 3D imaging, and X-ray imaging) into a single integrated system. This merging of different imaging technologies enables comprehensive seed characterization by capturing both external appearance and internal structure, thereby resolving the contradiction between measurement precision and detection versatility.
Solution Approach 2:
The imaging system is designed to perform multiple functions simultaneously: it can detect seed appearance characteristics, internal defects, size, shape, and composition using different imaging modalities. This multi-functional approach allows the system to overcome the limitations of single-modality systems and achieve both high precision and broad detection capability.
2Productivity
If prior image analysis systems are used, then seed analysis can be conducted, but automated collection of statistically significant data quantities for robust data models is not enabled
Solution Approach 1:
The system enables continuous automated imaging and data collection as seeds move through the imaging station. The seamless acquisition of images across multiple modalities without interruption ensures a steady stream of high-quality data, facilitating the collection of statistically significant quantities needed for robust data models while maintaining high productivity.
3Measurement precision
If multiple imaging modalities are used, then comprehensive seed characterization is achieved, but system complexity increases
Solution Approach 1:
The complex imaging system is divided into separate functional modules, each handling a specific imaging modality (hyperpectral, 2D, 3D, X-ray). This segmentation allows each component to be optimized independently while maintaining overall system integration, making the complex system more manageable and easier to maintain.
Solution Approach 2:
The patent introduces an imaging assembly that acts as an intermediary between the multiple imaging modalities and the seed sample. This intermediary structure coordinates the different imaging systems and integrates their outputs, simplifying the overall system architecture while preserving the comprehensive characterization capabilities.
Data Source
AI summary
A seed imaging system for imaging seeds includes a seed transfer station configured to move seeds through the system. An imaging assembly includes a first camera mounted relative to the seed transfer station and configured to acquire images of the seeds as the seeds move through the system. A second camera is mounted relative to the seed transfer station and is configured to acquire images of the seeds as the seeds move through the system. The second camera has an imaging modality different from an imaging modality of the first camera. First and second cameras may be disposed above and below the seed transfer stations, such as a transparent belt.