Abstract
A defect inspection of resin films involves processes of detecting defects, size measuring, type classification and reflective action planning. It is not only a process requiring heavy investment in workforce, but also a tension between quality assurance with a 50-micrometer tolerance and visibility of the naked eye. To solve the difficulties of the workforce and time consumption processes of defect inspection, an apparatus is designed to collect high-quality images in one shot by leveraging a large field-of-view microscope at 2K resolution. Based on the image dataset, a two-step method is used to first locate possible defects and predict their types by a defect-shape-based deep learning model using the LeNet-5-adjusted network. The experimental results show that the proposed method can precisely locate the position and accurately inspect the fine-grained defects of resin films.
Highlights
Defects considerably affect the quality of plastic products, and defect inspections are conducted for quality control
An automatic method that could identify nonbackground objects and classify was proposed by using a traditional image processing method to detect nonbackground objects, objects was proposed by using a traditional image processing method to detect nonbackground and a convolutional neural networks (CNNs) network to classify the defects
The results indicated that the objects; a comparison part was used to filter dust on the plastic resin film
Summary
Defects considerably affect the quality of plastic products, and defect inspections are conducted for quality control. Defects can stain the surfaces of plastic products if quality control is not performed thoroughly, which could lead to a decrease in the sales of the product because of unfavorable impression on the customer, and cause losses to the company. The most common technique of plastic product fabrication is injection molding, which involves producing parts by melting granular plastic and injecting them into a mold, and subsequently cooling the product. Granular plastic defect inspection is difficult because the size of the defects is at microscale. Granular plastics can be first compressed into plastic resin films.
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