Measurement system for color of plastic test pieces

TW202629992AActive Publication Date: 2026-07-16MING CHI UNIVERSITY OF TECHNOLOGY +1
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Patent Information

Authority / Receiving Office
TW · TW
Patent Type
Applications
Current Assignee / Owner
MING CHI UNIVERSITY OF TECHNOLOGY
Filing Date
2025-01-14
Publication Date
2026-07-16

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    Figure TWG2TA001068124_003
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Abstract

This invention relates to a system for measuring the color saturation of plastic test pieces, comprising: a test piece detection module, which includes: a middle box; a light-emitting diode (LED) as a light source for illuminating the test piece with test light; a color sensor for sensing the color saturation parameters of the plastic test piece; an outer cover; a microcomputer module, which includes: an outer shell, including a base cover plate and a base; a microprocessor for controlling various electronic components according to preset program instructions; a button group for setting the specifications and measurement time of the plastic test piece, and starting the measurement of the color saturation parameters; and an LCD screen for displaying the color saturation parameters measured by the color sensor. This invention provides an objective and accurate system for measuring the color saturation of plastic test pieces, and grades the quality of the test pieces numerically by measuring their color saturation parameters.
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Claims

1. A system for measuring the color saturation of a plastic test piece, wherein the plastic test piece is a light-transmitting plastic test piece, comprising: a test object detection module, comprising: a middle box for placing the plastic test piece to be tested; a light-emitting diode installed at one end of the middle box to provide test light illuminating the plastic test piece; a color sensor installed at the other end of the middle box for measuring the color saturation parameters of the plastic test piece; an outer cover covering the entire middle box to block external light; the middle box and the outer cover are opaque; a microcomputer module, comprising: a housing including a base cover and a base; a microprocessor disposed on the base, controlling various electronic components according to preset program instructions; and a liquid crystal display screen installed on the base cover and connected to the microprocessor, displaying the color saturation parameters measured by the color sensor. The microprocessor executes the program instructions to cause the light-emitting diode to illuminate the plastic sample. The color sensor receives the light passing through the plastic sample and measures the colorimetric parameters of the plastic sample. The colorimetric parameters are then sent back to the microprocessor and displayed on the liquid crystal display screen. The microcomputer module is connected to the test object detection module via the light-emitting diode and the color sensor.

2. The system for measuring the color of plastic test pieces as described in claim 1, wherein, The colorimetric parameter includes at least one of the following: color temperature, illuminance (the degree to which light penetrates the plastic sample), and RGB value.

3. The system for measuring the color of plastic test pieces as described in claim 1, wherein, It further includes a reading and recording module, which is set in a server and is communicatively connected to the microcomputer module. It receives the measured colorimetric parameters and automatically writes them into a text file along with the specifications of the plastic sample and the measurement time.

4. The system for measuring the color of plastic test pieces as described in claim 3, wherein, It further includes an artificial intelligence grading module, which is set in the server and connected to the reading and recording module. It receives the text file and uses a machine learning model to group the quality grades of the plastic sample based on the color parameters contained in the text file.

5. The system for measuring the color of plastic test pieces as described in claim 4, wherein the machine learning model is an unsupervised learning algorithm; the unsupervised learning algorithm is selected from at least one of aggregate hierarchical clustering, k-means algorithm and Gaussian mixture model.

6. The system for measuring the color of plastic test pieces as described in claim 1, wherein, The microcomputer module further includes a button set, which is set on the base and connected to the microprocessor, for setting the specifications and measurement time of the plastic sample, and starting the measurement of the color parameter.