The main aim of this project is RFID based item tracking system using Raspberry pi3 processor. In this project we are monitoring two types (food, non food) items using RFID technology in warehouse using IOT. The proposed system uses machine learning algorithm to effectively predict and categorize items in inventory. An RFID system consists of an antenna or coil, a transceiver (with decoder) and a transponder (RF tag) electronically programmed with unique information.   Each item consists of RFID TAG. We place the two RFID reader modules at entrance and exit which are interfaced to the raspberry pi3 processor. The raspberry pi module continuously tracks the items and updates them into the web page (like no of items delivered and stocked and received). The status of the project will display on LCD module.

     

The major building blocks of this project are:

• Power Supply.
• Raspberry pi3
• TWO RFID readers.
• RFID tags.
• LCD display with driver.
• SD card.

  Software’s used:

1. Linux OS.
2. Python Language.
3. Express SCH for Circuit design.
4. Machine learning algorithm.

   

   

Block diagram:    

   

video: