Data to go: How much information fits on an RFID label?

Each of these areas fulfills specific tasks that may be more or less important depending on the application.

Typical memory sizes and their significance

The size of the individual memory areas varies depending on the chip model and the intended use:

The larger the user memory, the more additional information can be stored directly on the label - such as batch numbers, article numbers, etc.

When is small storage sufficient - and when is large storage required?

Small memory sizes (EPC only) are ideal for applications where fast identification is paramount, e.g. in logistics or goods receipt. They offer:

• Faster read times
• Better range (because less energy is required)
• Cheaper RFID labels

Larger memory sizes are used when additional data needs to be stored directly on the tag - for example in complex production or maintenance processes. More memory is required here, however:

• Read and write times increase
• More energy is required for reading
• Costs per label increase

Therefore: Only plan as much storage as necessary!

The influence of memory size on the RFID process

The decision for a specific memory size has a direct impact on the entire RFID process:

Particularly in high-speed processes (e.g. for incoming goods scanners or conveyor belts), it is advantageous to limit yourself to small EPC data and manage additional information elsewhere.

Conclusion: Use storage cleverly - and expand potential

Although the memory of an RFID label is technically limited, it offers many possibilities for efficient processes if it is used correctly. Small memory sizes are often sufficient for simple identification tasks, while larger memories provide valuable services for more complex requirements.

Thanks to the intelligent GRAIDWARE software solution, SIGMA Chemnitz also offers the option of managing a lot more information about an RFID label in a database. This means that knowledge about a product is not only stored on the label itself, but is also digitally linked in an intelligent way and can be mapped in much larger stages. This allows companies to use far more data efficiently without overloading the chip memory - and at the same time make their processes even more flexible and transparent.