Robot for automatic sorting of eyeglass quality

Abstract

A robot for automatic sorting of quality of a "non-invisible (non-contact)" eyeglass. The robot comprises conveying subsystems, a triggering subsystem, an illumination subsystem, an imaging subsystem, an image analysis subsystem, a motion control subsystem, numeration subsystems, a statistics subsystem and a man-machine interaction subsystem. The robot is characterized in that when the conveying subsystems drive "non-invisible (non-contact)" eyeglasses to orderly pass through a test position vertically formed from the illumination subsystem and the imaging subsystem, after the triggering subsystem senses that an eyeglass needing to be tested is in position and transmits an exposure imaging instruction to the imaging subsystem, image acquirement software acquires images produced by the imaging subsystem, saves automatically the images to a prescribed path and then triggers automatically the image analysis subsystem to carry out various operations on the images to extract target characteristics and compare them, and then according a comparison result, the motion control subsystem is informed to execute a whole process of automatic sorting of eyeglass quality; and simultaneously, through a display, number accumulated by the numeration subsystems is shown to an operator in a real-time statement form, and friendly man-machine interaction interface designs and iconic touch screen button control are provided thus the robot can serve the people better.

Description

technical field [0001] The present invention relates to the transformation of robot (vision and control) technology to the traditional manufacturing industry of "non-contact lens (non-contact lens)", especially for the [0002] 1. Between "single forming cleaning" and "lens hardening", the first inspection [0003] 2. Between "hard cleaning" and "coating", semi-finished product inspection [0004] 3. After "coating", finished product inspection [0005] For the lens quality inspection and sorting required in the above links, artificial intelligence robots are used for automatic quality identification and inspection and the application of automatic sorting technology. Background technique [0006] Traditional lens manufacturing, from the raw material monomer to the final qualified product, requires multiple quality inspection procedures to ensure the quality. Usually, the lens is manually placed in front of the high-brightness fluorescent tube and observed from all angles o...

AI Technical Summary

Problems solved by technology

[0008]1. The accuracy is difficult to guarantee;

[0009]2. The production efficiency is also very low;

[0011]4. The cost of labor remains high; (Applicants for the position must have a visual acuity of 5.0 or above with naked eyes, and the training cycle usually takes 1 month to start the job, and the job is 1 year Later, due to severe vision loss, employees will face layoffs or transfers, and enterprises will also face the industrial dilemma of re-recruitment)

[0012]5. In summary, it is also the core reason why the entire lens industry has no (international, national, industry) quality standards for a long time

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