To this day, the medical industry continues to receive widespread attention, encompassing upstream sectors like electronics manufacturing, machinery manufacturing, biochemistry, and materials, as well as downstream sectors such as healthcare - all closely related to our daily lives. In the medical industry, safety and traceability are essential components. For the inspection, screening, and information tracing of various medical products, machine vision inspection equipment and barcode reading solutions can be utilized. These not only ensure the safety and traceability of medical products but also significantly reduce labor costs, advancing medical products into intelligent and digital management models.
Testing Screening and Information Traceability Across the Medical Industry Supply Chain
Project Background:
Currently, most medical containers use machine vision technology or fixed barcode scanners to collect barcode data for information recording and traceability. If manual handheld scanning is used, the workload would be heavy, labor costs would be high, efficiency would be low, and errors may occur. Fixed barcode scanners can read various information from product barcodes at the production source, which is not only fast but also greatly improves efficiency and saves labor costs.
Barcode Reading Challenge:
Barcode surface damage or breakage
Skewed or curved QR codes on bottles
High volume of barcodes requiring wider field of view coverage
Barcode printing quality issues
Solution:
1.For poor print quality, AI-powered intelligent decoding algorithms can be employed to solve the issue. The algorithms preprocess images captured by the barcode reader to improve decoding accuracy, including steps such as: noise reduction, contrast enhancement, and brightness adjustment.
2.For wrinkled and damaged barcodes/QR codes, the deep learning-based algorithm leverages its inherent learning capability to recognize various types of barcodes and QR codes. It adapts to diverse image conditions and code variations, enabling reliable identification and reading despite packaging surface defects like wrinkles or tears.
3.For multi-code reading issues, it is recommended to use wide-field barcode readers or utilize the networking function of barcode readers for resolution. For example，the R-6000 Series Barcode Reader features a larger field of view and is suitable for situations with a high number of product barcodes. It can read a wide range of product barcodes, has auto-focus capability, and offers simple installation and debugging. The R-6000 series comes in various models to meet different production needs.
Alternatively, the R-3000 Series Barcode Reader can also be used. In such production scenarios, its networking function is often employed to meet wide-field requirements. It supports manual focus adjustment and provides high cost-performance.
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