Smart Cashier System using image processing and thermal packaging

Abstract

Our project introduces the design and implementation of the 'Smart Cashier System,' an innovative solution revolutionizing the fruit purchasing experience. Powered by a Raspberry Pi 4 micro-computer, the system integrates an ESP32 microcontroller for sensor interaction, a camera for precise fruit recognition, and an intuitive touchscreen interface. The essence of the Smart Cashier System lies in its ability to enhance fruit purchasing through automation and personalization. Customers can effortlessly select a fruit swiftly recognized by the system's camera, with its weight accurately converted into a price displayed on the user-friendly touchscreen. This experience is made possible by the integration of a YOLOv8 model, renowned for its exceptional fruit identification accuracy. The system incorporates a load cell to meticulously measure the fruit's weight, ensuring transparent transactions by automatically computing the price based on predefined formulas. Furthermore, to expedite the checkout process, the system generates QR codes embedded with product information and pricing details. Customers can effortlessly scan these codes and proceed with payment, enhancing efficiency and convenience in fruit selection and purchase."