학술논문

Cash register lines optimization system using RFID technology
Document Type
Conference
Source
2014 37th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO) Information and Communication Technology, Electronics and Microelectronics (MIPRO), 2014 37th International Convention on. :459-462 May, 2014
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Registers
Radiofrequency identification
Antennas
Protocols
Real-time systems
Optimization
Databases
Language
Abstract
By doing business the old way, retail chains don't use all the potential of developed technologies in order to increase their efficiency. Cash register lines optimization system uses RFID (Radio Frequency Identification) technology to follow the number of shopping carts and baskets in front of cash register. Developed system consists of RFID reader and passive RFID tags with assigned ID. System works on ultra-high frequency (UHF, 868 MHz) with long range (up to 15m) which enables development of protocols using simultaneous communication between reader and tags. One reader can collect data from 8 antennas at the same time. Concept of following shopping carts and baskets using RFID is based on backscatter coupling which enables powering RFID tags with energy from magnetic field of the reader. System uses SQLite3 database and Python 2.7 programming language. Web application is written using JavaScript jQuery framework and HTML/CSS Twitter Bootstrap framework. Also, for sending SMS, mail2sms technology is used. JSON via HTTP protocol is used for communication between reader and server and between server and web application. In order to inform the store manager, SMS is generated. Web application is used for tracking the whole system. Statistics integrated in web application enable store managers to organize employees in advance considering observations from past periods.