AdvanPay-160 is a high power RFID reader for points of sale with hard tag detacher that increases the speed of payment at cash registers. it merges 2 processes:
Hard tag detachment.
An antenna with a highly confined reading area.
A hard tag detacher.
Keyboard wedge by hardware. It is not necessary to install any software at the POS.
Functionalities specifically designed to address the needs of staff at retail stores, libraries or other spaces
AdvanPay-160 has 3 operation modes, that can be easily selected at any time:
Payment mode (green light)
Return mode (red light)
Read-only mode (blue light)
AdvanPay-160 has a highly confined reading area, even with far field RFID tags. It only reads the tags that are placed slightly above its surface, which avoids reading unwanted RFID tags. It includes hardware keyboard wedge (micro USB Type-B connector) that allows a very easy and fast integration with point of sale applications, without having to modify such software applications. The keyboard wedge is easily configured to send the keyboard codes required by each software application.
AdvanPay-160 is stand alone. It just needs to be powered with the supplied PoE injector and connected to a computer through the supplied USB cable. It can be optionally connected to an Ethernet network switch. This gives AdvanPay-160 the advantages of an Ethernet-enabled device: remote control, centralised management, etc. Thanks to its size and its support piece, AdvanPay-160 is the perfect choice for various applications such as point-of-sales, document tracking and RFID programming stations.
In retail stores, AdvanPay-160 reads the GTIN14, GTIN13 and GTIN12 codes of the products being purchased while simultaneously deactivating the EAS flag of such products, for loss prevention.
AdvanPay-160 can be used together with AdvanSafe or AdvanMat to provide a complete loss prevention system fully based on RFID UHF.
AdvanPay can be optionally connected to AdvanCloud cloud-based software platform.
The EPC codes of read RFID are reported to AdvanCloud. This information can then be analysed for business intelligence purposes, such as:
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