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If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
Glass defects which result into poor quality are a major reason of embarrassment for manufacturers. It is an extremely tedious process to manually inspect very large size glasses. The manual inspection process is slow, timeconsuming and prone to human error.In this research work, the analyses and methodology employed to detect the defects in the glass sheets seek to address this need, using image processing technique because of its higher precision and speed to overcome many of these disadvantages and offer manufacturers an opportunity to significantly improve quality and reduce costs. The implementation of defect detection methodology has two main phases, namely the visibility test and segmentation phase. The visibility test enables the selection of an appropriate color space followed by the regionbased active contour segmentation technique for final detection of the defect.The results show that the technique when applied to glass industry enables detection of any kind of major defects like surface defects, foreign materials, etc that can be present in the glass sheet providing good quality inspection with reasonable accuracy.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
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⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
