Optical Wire Sorting by Shape Using Gabor Filters
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Solution Overview
Problem
Existing methods for sorting wire from mixed waste materials, such as electronic waste, are inefficient as they rely on color or material composition, failing to effectively identify and separate elongated narrow articles solely by shape.
Innovation Solution
An optical sorting system using a line scan camera and Gabor filters to identify elongated narrow articles by shape, with an array of ejectors to separate them from the stream, based on image data processed to detect articles with specific shapes without referencing color or material composition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wire sorting is performed by color or material composition, then identification can be achieved, but sorting efficiency and accuracy for elongated narrow articles deteriorate
Solution Approach 1:
The patent changes the identification parameter from color or material composition to shape characteristics. By using shape-based identification through image processing and pattern recognition, the system achieves both high sorting efficiency and accurate identification of elongated narrow articles like wire, resolving the contradiction between productivity and measurement precision.
2Reliability
If traditional sensors are used to identify wire, then material composition can be detected, but the ability to identify elongated narrow shape deteriorates
Solution Approach 1:
The patent replaces traditional mechanical or material-based sensors with an optical imaging system. The camera-based system captures images of articles on the conveyor belt, and image processing algorithms extract shape features to identify elongated narrow articles. This substitution maintains high detection reliability while significantly improving shape detection capability.
3Productivity
If wire is identified from shredded electronic waste, then valuable material can be recovered, but sorting accuracy deteriorates due to random sizing and mixing
Solution Approach 1:
The patent applies local quality analysis by examining specific regions of interest in the captured images. The system focuses on detecting elongated narrow shapes in localized areas of the conveyor belt, using region-based image processing to identify wire regardless of the random mix of other shredded materials. This approach maintains high sorting accuracy while enabling efficient recovery from heterogeneous waste streams.
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 system efficiently sorts elongated narrow articles, including wire, by accurately identifying and separating them based on shape, improving the efficiency of wire recovery from mixed waste materials.
Implementation Method 1
receiving at an optical detector electromagnetic energy from the stream of articles as the articles move through an inspection zone and generating image data representative of the stream of articles
Data Source
AI summary
A wire sorting system identifies and sorts wire from mixed electronic waste solely by the shape of the wire. A digital image of a stream of articles is created, and the image data may be processed using a Gabor filter technique to identify elongated narrow objects such as wire.