Editing Radio-frequency identification (section)

===Data flooding===
Not every successful reading of a tag (an observation) is useful for business purposes. A large amount of data may be generated that is not useful for managing inventory or other applications. For example, a customer moving a product from one shelf to another, or a pallet load of articles that passes several readers while being moved in a warehouse, are events that do not produce data that are meaningful to an inventory control system.<ref>Bill Glover, Himanshu Bhatt, ''RFID Essentials'', O'Reilly Media, Inc., 2006 {{ISBN|0-596-00944-5}} page 43</ref>

Event filtering is required to reduce this data inflow to a meaningful depiction of moving goods passing a threshold. Various concepts{{Example needed|date=June 2010}} have been designed, mainly offered as ''[[middleware]]'' performing the filtering from noisy and redundant raw data to significant processed data.{{Citation needed|reason=See talk page|date=July 2021}}