Automated Grain Inspection Using Multispectral Imaging
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Solution Overview
Problem
Manual inspection methods for grains are subjective, slow, and lack scalability, resulting in error rates of 20-30% and limitations in achieving rapid, precise, and consistent results for food quality and safety, as well as commercial grading and yield management.
Innovation Solution
A system and method for automated grain inspection using a feeder, receptacle, lighting system capable of various light spectra, digital cameras, and computing devices for image capture and analysis, enabling detailed reports and multispectral analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection methods are used, then operators can inspect grains visually, but the inspection is slow, subjective, and has high error rates (20-30%)
Solution Approach 1:
The patent replaces manual visual inspection with an automated imaging system that uses digital cameras and computer processing to capture and analyze grain images. This substitution eliminates human subjectivity and fatigue, providing consistent, objective measurements while increasing inspection speed and reducing error rates from 20-30% to much lower levels.
Solution Approach 2:
The system creates digital copies of grains through high-resolution imaging, allowing multiple analyses of the same grain without physical manipulation. These digital replicas enable repeated measurement and verification, improving both accuracy and efficiency while eliminating the need for manual re-inspection.
2Productivity
If manual inspection methods are used, then inspection can be performed with simple equipment, but the results are inconsistent and cannot be scaled
Solution Approach 1:
The inspection system is divided into distinct functional modules: grain feeding mechanism, multi-angle imaging subsystem, lighting system, and computer processing unit. This segmentation allows each component to be optimized independently and enables the system to scale from inspecting small samples to large volumes by simply increasing the number of imaging stations or processing power.
Solution Approach 2:
The imaging system is designed to perform multiple functions: capturing grain images from different angles, analyzing grain characteristics, detecting defects, and generating inspection reports. This multi-functionality reduces the need for separate specialized equipment for each inspection task, managing complexity while enhancing scalability.
3Reliability
If sample groups are inspected manually, then inspection can be performed with simple methods, but the sample may not accurately represent the entire lot
Solution Approach 1:
The automated system enables continuous inspection of grains as they move through the feeding mechanism, eliminating the discontinuous nature of manual sampling. This continuous action ensures that every grain in the lot can be inspected, not just a representative sample, providing complete and accurate representation while maintaining high throughput through automated processing.
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 solution provides rapid, precise, and consistent grain inspection results, improving food quality and safety, refining commercial aspects like grading and yield management, and reducing errors through automated analysis and reporting.
Implementation Method 1
a lighting system capable of illuminating the grains in the receptacle with one or more types of light within the spectrum from infrared through ultraviolet
Implementation Method 2
one or more digital cameras with sufficient resolution to capture image data of the individual grains
Data Source
AI summary
A system and method for automated grain inspection and analysis of results, that inspects grains using a plurality of light spectra, analyzes the results, and produces detailed reports from the analysis.