Optical Cottonseed Sorting Reducing Waste
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Solution Overview
Problem
Current cottonseed sorting methods, particularly using gravity tables, are prone to variability and inefficiency due to operator skill dependence and often result in the discard of high-quality seeds, leading to reduced precision and increased manpower requirements.
Innovation Solution
Implementing an optical sorter to separate cottonseeds based on physical properties such as color, shape, size, and chemical composition, which can be used alone or in conjunction with gravity tables to enhance the sorting process and reduce manpower needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gravity tables are used to separate cottonseeds, then separation of high-density mature seeds from low-density immature seeds is achieved, but the sorting results show high variability and require frequent manual adjustment
Solution Approach 1:
The patent replaces the mechanical gravity table system with an optical sorting system that uses light sources, cameras, and image processing to identify and sort cottonseeds. This substitution eliminates the need for mechanical adjustments and operator skill dependence, providing consistent and reliable sorting results based on optical properties rather than gravitational separation.
Solution Approach 2:
The optical sorting system performs automatic identification and classification of cottonseeds without requiring manual intervention or adjustment. The system self-regulates by using image processing algorithms to consistently evaluate seed quality based on optical characteristics, eliminating the variability introduced by human operators.
2Productivity
If gravity tables are used for cottonseed sorting, then separation is achieved, but high manpower is required for monitoring and adjustment
Solution Approach 1:
The patent replaces the manual monitoring and adjustment operations with an automated optical system that continuously sorts cottonseeds without human intervention. The system uses computer vision and image processing to automatically identify, classify, and direct seeds to appropriate collection areas, eliminating the need for operators to monitor and adjust the sorting process.
Solution Approach 2:
The optical sorting system operates autonomously, performing all sorting functions without requiring manual oversight or adjustment. The system self-manages the entire sorting process from seed presentation to classification, significantly reducing manpower requirements while maintaining high productivity.
3Manufacturing precision
If gravity tables are used to sort cottonseeds, then separation is achieved, but many good-quality cottonseeds are discarded
Solution Approach 1:
The patent replaces the density-based gravitational separation with an optical classification system that evaluates seeds based on their visual characteristics. This allows for more nuanced identification of quality attributes, preventing the premature rejection of viable seeds that may not conform to strict density criteria but still possess good quality characteristics.
Solution Approach 2:
The patent changes the sorting parameters from physical density (gravitational property) to optical properties (color, shape, surface characteristics). This parameter change enables a more comprehensive assessment of seed quality, allowing the system to identify and preserve good-quality seeds that might be incorrectly classified by density alone, thereby reducing waste.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The optical sorter improves the yield of high-quality cottonseeds by increasing homogeneity and reducing waste, with the ability to automate the sorting process, thereby enhancing precision and reducing manual labor requirements.
Implementation Method 1
Individual seeds in the heterogenous population of cottonseed may differ with respect to, and be sorted by, any physical property, including but not limited to color, shape, size, chemical composition and/or structural properties
Implementation Method 2
Presently, gravity tables are used in the cottonseed industry to separate the high-density, mature seeds from the low-density, immature seeds
Data Source
AI summary
Methods and devices for sorting cottonseeds. Methods include the use of an optical sorter to sort cottonseed by color. Additionally, methods include sorting cottonseed using a gravity table to collect high-density seed (“accepts”) and mid-density seed (“middlings”), followed by sorting the mid-density, and optionally, the high-density seed using an optical sorter to collect dark cottonseed, thereby providing high-quality cottonseed for packaging. Devices and systems comprising one or more gravity tables and one or more optical sorters are provided.