GS1 DataBar barcode in Python via Java

About GS1 DataBar Symbology

DataBar is a group of barcode types developed in the early 2000s as a part of the GS1 standard. It aimed to address the issues associated with traditional linear barcodes introduced in the 1970s, while still maintaining the ability to be scanned with a laser. DataBar is used to store trade identification codes, such as the Global Trade Item Number (GTIN), and is known for its compact size, which can be 50% smaller compared with UPC and EAN barcodes. This makes this symbology well-suited to track small items in various industries, such as healthcare, food, retail, and pharmaceuticals. DataBar types can be divided into two main categories: continuous and stacked. Within these categories, there are several subtypes that differ in terms of their space-saving methods, encoding capacity, and structure. DataBar has been developed to encode GS1 identification codes for trade items (i.e. Application Identifiers, see more in GS1 Barcodes).
The DataBar specification includes the following subtypes:

• DataBar Omnidirectional / DataBar Stacked Omnidirectional
• DataBar Stacked / DataBar Truncated
• DataBar Expanded / DataBar Expanded Stacked
• DataBar Limited

GS1 DataBar Features

• Compact Size: GS1 DataBar barcodes are smaller and more compact compared to traditional linear barcodes, allowing for efficient use of space on products and packaging. This makes them suitable for applications where space is limited, such as marking small retail items or medical devices.
• Variable Length Encoding: GS1 DataBar supports variable-length encoding, meaning it can encode different types of data, including product identification numbers, expiration dates, batch/lot numbers, and weight information. This enables more accurate and comprehensive data capture for improved inventory management and traceability.
• Enhanced Couponing Capabilities: GS1 DataBar provides special versions designed specifically for couponing applications, such as GS1 DataBar Expanded Stacked. These barcodes can store information about multiple offers, expiration dates, and redemption conditions, facilitating efficient and accurate coupon processing at the point of sale.

Applications

• Retail: GS1 DataBar barcodes are widely used in the retail industry for product identification, pricing, and inventory management. They enable accurate and efficient stock control, shelf replenishment, and checkout processes. Additionally, GS1 DataBar barcodes with couponing capabilities facilitate promotional campaigns and enable accurate coupon validation.
• Healthcare: GS1 DataBar is often utilized in the healthcare industry to label medical devices, pharmaceutical products, and laboratory specimens. It enables tracking, traceability, and compliance with regulatory requirements. GS1 DataBar contributes to patient safety by ensuring accurate medication administration, product recalls, and expiration date monitoring.
• Fresh Produce and Perishable Goods: GS1 DataBar is commonly used for labeling fresh produce, meats, and other perishable goods. With the ability to encode variable data, such as weight and expiration dates, DataBar barcodes serve to automate inventory management, minimize waste, and facilitate accurate pricing at the point of sale.

The compact size, variable length encoding, and couponing capabilities of DataBar make it a suitable barcode solution for industries requiring comprehensive product identification, accurate data decoding, and optimized supply chain processes. GS1 DataBar contributes to improved inventory management, enhanced customer experiences, and increased operational efficiency.