The batch number on packaging bags provides crucial information about the product’s processing, allowing for the determination of the product’s warranty period and ensuring good traceability. This serves as an important standard for measuring product safety. On the market, flexible packaging products primarily use inkjet printers to print safety information such as production dates, origins, and batch numbers. The environment of the inkjet production line is relatively stable, but due to the nature of the easily worn-out print heads and constraints from the equipment’s performance, ink quality, and vibrations, it is inevitable that the inkjet printing will exhibit quality defects such as blurriness, deformation, omissions, and contamination.
If packaging products with coding defects enter circulation and use, they not only face regulatory scrutiny but also harm the company’s image. Therefore, it is necessary to complete the quality inspection of the coding before the products leave the factory to ensure that the safety information is clearly identifiable.
Currently, many companies rely on manual visual inspection for coding detection, which is inefficient and has a high rate of missed detections. This method does not meet the modern industry’s requirements for high-speed, high-quality, and high-precision production. To address the shortcomings of manual methods, Jill Group proposes using machine vision technology to detect coding defects. Machine vision recognition technology offers non-contact measurement, a wide spectral response range, fast processing speed, and long-term stable operation. These features not only enhance the intelligence level of coding inspection but also improve the accuracy of defect recognition in coding.
