Internet of Things Based Smart Shopping Cart using RFID Tag.

Computer Engineering

Time is most valuable in everyone’s life, no one wants to waste their time. But while shopping everyone wastes most of the time at the billing counters by standing in a queue. If it is a festival season, the crowd is usually high and billing time will increase promotionally. Therefore, the main aim of the smart shopping cart is to reduce the shopping time Also in the pandemic we are facing today, malls are allowing only 15 max people at a time to avoid crowd, and make the shopping experience more easily and safely, at present, the world's population is growing rapidly, leading to a wide variety of needs in different lands. With the development of human society, supermarkets have become part of our daily lives, where consumers can feed themselves using carts or baskets while searching for the products they need. The goods are packed in baskets or carts and taken to an exit. While customers enjoy the convenience of getting the most out of everything, they need due to the availability of a wide variety of goods, finding items in a supermarket can be time-consuming and can lead to physical fatigue and frustration. As we notice, money and average time spent on each customer makes it less. The main aim is to satisfy the customer and reduce the time spent on the billing process which is very hectic and time-consuming. This paper focuses on reducing the queue at a billing counter in a shopping complex. In this way the customer can directly pay the amount at the billing counter and leave with the belongings he/she has bought. It eliminates the old method of scanning of products at the counter and in turn speeds up the entire process of shopping, it reduces the possibility of human error due to all automated processes. Also, the system has a feature to delete the scanned products to further optimize the shopping experience of the customer. The hardware for the test run is based on the Cloud platform and the RFID reads and RFID tags, as both are very popular in small-scale research and wireless automation solutions.

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