Potato Defect Removal via Digital Imaging and Selective Cutting
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Solution Overview
Problem
Current potato processing methods fail to efficiently separate 'good' from 'bad' potatoes, leading to significant amounts of inferior products and labor-intensive manual removal of defects, which results in a substantial residual of defective potatoes.
Innovation Solution
A method involving visual monitoring and digital image analysis to separate potatoes into 'good' and 'bad' categories, followed by selective removal of defective elements using cutting means like water jets, lasers, or cutting dies, ensuring only defective parts are removed and processed as animal feed, thereby minimizing waste.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual removal of eyes and defects is performed, then potatoes can be cleaned of unwanted elements, but the process becomes labour-intensive and time-consuming
Solution Approach 1:
The patent replaces manual mechanical removal of defects with an automated system combining digital imaging, computer analysis, and robotic cutting means. The system captures images of potatoes, analyzes them computationally to identify defects like eyes and wireworms, then uses automated cutting means to remove identified defects, eliminating manual labor while maintaining effective defect removal.
Solution Approach 2:
The system enables potatoes to be processed through self-inspection and self-treatment. Each potato is individually imaged, analyzed for its specific defects, and treated only where needed. The computer controls the cutting means to remove only the identified defective elements from each potato, allowing the process to adapt automatically without human intervention.
2Reliability
If all potatoes with eyes are rejected and processed as animal feed, then defective potatoes are separated, but a large amount of usable potatoes is wasted
Solution Approach 1:
The system extracts only the defective elements (eyes, wireworms, rust) from potatoes rather than rejecting entire potatoes. The digital image analysis identifies specific defect locations, and the automated cutting means removes only these problematic portions, leaving the rest of the potato intact for human consumption, thus minimizing waste while ensuring food safety.
Solution Approach 2:
The treatment applied to each potato is localized to the specific defective areas identified through image analysis. Rather than uniform rejection or processing of all potatoes with eyes, the system applies cutting operations only at the precise locations where defects are detected, preserving the quality and usability of the remaining potato portions.
3Measurement precision
If visual inspection is performed on peeled potatoes to separate good from bad, then defective potatoes can be identified, but the process requires significant labor and results in large amounts of inferior product
Solution Approach 1:
The patent replaces manual visual inspection with automated digital imaging and computer analysis systems. Cameras capture images of potatoes at high speed, computers automatically analyze the images to identify defects, and results are processed rapidly without human fatigue or limitation, simultaneously achieving high precision defect identification and high processing speed.
Solution Approach 2:
The system maintains continuous operation throughout the sorting process. Potatoes move continuously through the imaging and analysis system, with the computer continuously processing images and controlling the cutting means without interruption. This continuous automated process eliminates the stop-start nature of manual inspection and significantly increases productivity.
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
This method allows for high-speed separation and processing of potatoes, reducing the amount of inferior products and enhancing the yield of usable potatoes, ensuring only defective elements are removed, thus maintaining the quality and usability of the remaining potatoes for consumption.
Implementation Method 1
selective removal of defective elements from the visually rejected potatoes by using one or more cutting means selected from the group of water jet, laser jet, drill, cutting dies and knife
Implementation Method 2
selective removal of defective elements from the visually rejected potatoes by using one or more cutting means selected from the group of water jet, laser jet, drill, cutting dies and knife
Data Source
Figure 1
AI summary
The present invention relates to a method for processing potatoes, comprising the provision of potatoes and the possible removal of the skin from said potatoes before further processing of the potatoes takes place. In this method potatoes are visually monitored for defects and then subdivided into "good" and "bad" potatoes, after which the "bad" potatoes are separated and additionally treated to selectively remove defective elements such as wireworms, rust, blackening, scab and eyes.