Data filtering

Data filtering refers to the targeted selection, consolidation or suppression of captured information before it is passed on to an interface or a higher-level system. In RFID systems, it prevents duplicate, irrelevant or faulty read data from burdening further data processing. This ensures that only the information that is actually relevant to a process is transferred, for example when passing a read point or during repeated captures within the same area. Data filtering therefore improves data quality, reduces the load on software and increases the stability of automated processes. A clean filtering logic ensures that material movements and status messages arrive in production and logistics systems in a precise and usable form.

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