RFID based Human Following Smart Trolley with Real-Time Pricing

The shopping at conventional stores often presents challenges such as navigating around congested areas, pushing trolleys physically, and keeping track of goods and overall spending. Such challenges might make the process lengthy and cumbersome. The solution offered is a smart trolley system that employs IoT technology to automate cart motion and enhance customer experience during shopping. The cart will automatically follow the consumer, maintain an appropriate distance, and update the overall cost in real time when adding or withdrawing goods. At the end of the purchasing journey, the system produces an aggregated bill and delivers it to the customer's mobile phone via SMS, thus reducing waiting at the checkout process.This research includes IoT components such as IR(Infrared) sensors, ultrasonic sensors, RFID readers, and GSM module can be implemented for seamless functioning. The hardware consists of an Arduino UNO board and employs DC motors for movement, Servo motors for interaction with objects, and an LCD screen to display real-time prices. Further research focuses on applying techniques of image processing to identify products more effectively and monitor users for their comfort and enhancement of the smart trolley.