In metropolitan cities, we will see an enormous rush at shopping malls on holidays and weekends. This becomes, even more, once there are large offers and discounts. Currently folks purchase a spread of things and place them within the trolley, after buying one ought to approach the counter for billing. By employing a barcode reader, the cashier prepares the bill that may be a time overwhelming method. This ends up in long queues at the billing counters. This project presents a plan to build up a framework in shopping centers to beat the above issue. The main purpose of this work is to build an grocery checkout using computer vision billing. Here pi camera is used to capture the images that are selected by the customer , an Arduino uno is used for interfacing with hardware components and conveyor belt powered by dc motors with a motor is used for moving of the items that are placed on the conveyor belt, while IR sensor  detects the items that is placed on the conveyor belt, and a load cell measures the weight of the fruits. Transaction data is stored on the SD card, ensure secure and reliable billing. When product is added to trolley name, weight and price of the product are displayed on the LCD. The raspberry pi has inbuilt wi-fi so, processor will send to the total or final bill of all products into the web browser (HTML) and also displayed on LCD. To perform this task, Raspberry Pi processor is programmed using embedded ‘Linux’. The integrated solution aims to streamline grocery checkout process, improving efficiency and enhancing the overall shopping experience to the customers.

 

The major building blocks of the project are:  

1. Arduino uno.
2. Raspberry Pi processor.
3. Pi Camera.
4. LCD display with driver.
5. IR Sensor.
6. Load cell.
7. Conveyor belt.
8. Dc motors.
9. Motor driver.
10. SD card.

  Software’s used:  

• Python programming language
• Raspbian os
• Express sch for circuit design

Block diagram:      

video: