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."
