With the development of modernization, labels are indispensable for any product. Product labels and barcodes have become a ubiquitous identification in our daily lives, marking various information about the goods.
Product label detection, barcode reading, OCR recognition of label contents, and related defect detection (product surface defects, label printing errors or poor print quality, etc.) have been widely concerned by people. Most existing production lines use manual inspection, which is inefficient and unreliable, leading to a series of problems such as unstable product quality, high defect rate, high labor and after-sales costs, and damage to brand image. Machine vision can basically solve this problem, so what can machine vision systems detect on product labels?
Used for appearance attributes such as the size and color information of each part; it can recognize and compare with the correct configuration information of the factory to prevent defective products due to assembly errors.
Automatically identify barcode and label contents, realize customized development of various special fonts used in product labels, prevent defective products due to incorrect barcode or label information, avoid situations where products cannot be tracked, and save labor costs, improve accuracy and production efficiency by avoiding inefficient manual scanning and comparison steps.
Automatically detect product-related defects, such as product surface defects and label printing quality, incompleteness, blurring, shortage, etc.
The machine vision detection process greatly saves time and reduces the probability of misjudgment in manual inspection, effectively feedbacks results in real time, and improves the intelligent and automated production efficiency of the production line.
The traditional surface inspection process for paper loading can be divided into four stages: sampling before printing, manual sampling and inspection during the printing process, manual sampling and inspection of other post-printing processes such as bronzing, and manual sampling and inspection during the slitting process. The manual inspection methods include visual inspection, handheld strobe meter, and still images, which rely on human observation to detect defects.
Manual inspection can only achieve local observation, and cannot achieve continuous full-frame inspection. In addition, manual inspection can only be applied to low-speed inspection. As the equipment speed continues to increase, the speed of manual inspection cannot keep up with it.
Based on the disadvantages of traditional manual inspection, paper loading printing companies urgently need to replace manual inspection with automated equipment to achieve accurate, sustainable and full-frame face inspection. Advanced printing workshops are also developing towards the direction of using machinery to replace labor and liberate labor.
Before the small plate of paper loading is formed and shipped, the machine vision online detection equipment is installed on the slitting machine, which can control the quality after paper loading is completed such as printing and bronzing, and intercept defective products in the final stage to ensure the quality of paper loading.
The machine vision system can really reduce labor costs and improve product quality.
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