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RFID anti-metal tamper detection security sticker tag
Place of origin : Fujian China ( mainland )
Brand name : Xminnov ODM or OEM
Antenna Size:100*30 mm
Tag Size is 110*40 mm
Frequency : 860MHz-960 MHz
Protocol: ISO18000-6C, ISO18000-6D
International Standard: FCC, ETSI
Conduct Material: Aluminum Etching / 9um thickness
Substrate: PET of 50um thickness
Product Property: Optional of Tamper proof, Brittle antenna, Destructive aluminum etching, Fragile copper etching, Ink of silver Printing antenna based
Product Feature: Function of Non-transfer, Fragile,Tamper Evident, Anti-counterfeiting, non-transferable,break on antenna, break on chip,one time use, Disposable, Destructive IP Level, Waterproof, UV IR rays resistant, heat or temperature resistant and chemical resistant
The on metal RFID tags overcome some of the problems traditional RFID tags suffer when near metal, such as detuning and reflecting of the RFID signal, which can cause poor tag read range, phantom reads, or no read signal at all.
Packaged in a flexible printable material with a large curvature Ultra-thin design, strong metal resistance, surface support printing or custom printing.
Each chip has an unchangeable unique identifier (serial number) that guarantees the uniqueness of each tag.
RFID anti-metal tamper detection security sticker tags have high label recognition sensitivity for simultaneous multi-tag recognition.
Metal asset management: mainly for the inspection, statistics, inventory management of metal fixed assets or outdoor metal equipment; also can be used for tracking and process management of production line metal assets.
Concrete management: The label is buried in the concrete sample or prefabricated component to realize the information management of concrete tracking, query, statistics, etc. It can also be buried in the cement floor or fixed metal surface for AGV robot path site identification.
Assets warehouse management: The tags are installed on the pallets to record the inbound and outbound data of the forklift pallets of the forklift, and realize the processing and query statistics of data such as storage, delivery, and inventory.