A980 RFID Self Service checkout RFID Self Service checkout is a brand new intelligent settlement system that integrates RFID multi item identification bucket, touch settlement interaction, anti-theft button unlocking, clothes rack or shopping box storage box. It adopts RFID sensing practical technology, and customers only need to place the goods in the RFID intelligent identification box, select payment mode, and anti-theft unlocking (if optional) to complete the product settlement on their own. After completing the payment, they can print a small receipt, and the entire process is simple and fast, Reduce the waiting time in queues, improve the efficiency of customer self-service settlement, and enhance the user experience of intelligent stores. Realize intelligence, self-service, and unmanned self-service, widely used in the field of retail smart stores such as clothing, sports goods, shoes and hats, supermarkets, etc.

Functional characteristics

  Compatible with EPC C1 Gen2/ISO 18000-6C and ISO18000-6B protocols

  The system software adopts a modular design architecture, which is divided into an RFID recognition area, a touch interaction area, and a storage area. It can be modular combined according to on-site needs.

  The system supports simultaneous reading of multiple product express deliveries and fast payment; The checkout process is simple; Customer selects product ->places in payment area ->scans payment ->anti-theft unlocking (optional) ->end

  Supports EPC intensive read mode (DRM)

  Reserve bank card swiping firmware for easy upgrade to swiping payment settlement

  Response speed: no less than 15 tags per second

  SDK or API interface protocol can be provided according to customer needs

  Manual and self-service payment modes can be set according to on-site needs

  The system has MQTT, CAN Internet of Things protocol standards. Future customers will connect to the Internet of Things management platform of smart stores without joints on the basis of not replacing the existing anti-theft hardware, to achieve intelligent hardware control (online status, fault diagnosis, remote maintenance, upgrade, etc.) and Big data analysis of the intelligent Internet of Things platform