Industry Demand

In the lithium battery industry barcode reading typically refers to scanning QR codes or barcodes on battery cells. This process retrieves critical information including battery identification production dates and batch numbers enabling product traceability and quality control. Industrial-grade barcode readers are employed to meet complex environmental demands and high-precision requirements. Common scanning methods include laser scanning and image recognition. Laser scanners achieve fast accurate code reading while vision-d readers utilize image analysis for higher precision decoding.

With the rapid advancement of lithium battery technology barcode reading has become widely adopted. On production lines readers verify unique battery identifiers ensuring traceability for quality assurance. The technology also enables full supply chain tracking—from raw materials to end consumers—enhancing product reliability through comprehensive data recording.

As a critical industrial application barcode reading technology:
Ensures product traceability (ISO 9001 compliance)
Enhances quality monitoring (IEC 62133 standards)
Boosts production efficiency (30% faster than manual checks)
Improves product quality

Industry Background:

The term (barcode symbology) refers to its encoding method, which consists of specific geometric patterns arranged in a two-dimensional plane (both horizontally and vertically) to form black-and-white data-encoding symbols. Common 2D barcode types include QR Code, PDF417, and Data Matrix. With increasing product diversification, barcodes may also adapt to sample variations, as exemplified by this elongated Data Matrix code application.

Barcode Reading Challenges

1.Elongated Data Matrix (DM) codes differ morphologically from standard DM codes, resulting in lower barcode recognition rates;

2.Incorrect barcode recognition occurs, where the decoded information does not match the actual barcode data;

3.Excessive decoding time is required, with significantly prolonged identification duration.

Solution Advantages:

1.The R-6000 Series Barcode Reader utilizes proprietary AI algorithms to effectively distinguish between various barcode types;

2.Through intelligent recognition and barcode verification algorithms, it accurately identifies and captures data from elongated Data Matrix codes;

3.The self-developed AI algorithm platform, integrated with an image processing system, automatically selects the optimal decoding strategy from 100+ predefined protocols to achieve high-speed decoding of elongated Data Matrix codes.

Solution Performance

1.All five test lines achieved rapid detection of elongated Data Matrix codes, reducing processing time from 1.2 seconds to 52 milliseconds—a 95.6% efficiency improvement;

2.During 15-day testing across the five test lines, the system successfully decoded over 1,800,000 elongated Data Matrix codes with zero missed or erroneous reads, maintaining a 100% barcode recognition rate.