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IoT based Smart Shopping Cart using RFID and Raspberry Pi

11,000.00

Description

Smart Shopping Cart

OBJECTIVE

IoT-based Smart Shopping Cart using RFID and Raspberry Pi – The main objective of this system is to provide a technology-oriented, low-cost, easily following smart trolley system for shopping.

ABSTRACT

Smart Shopping Cart – Colour tracking in real-time is one of the most important topics in the field of Computer Vision. Detection and tracking of moving objects in the video scenes is the first relevant step in information extraction in many computer vision applications. This idea can be used for the customers arriving at hypermarkets. The system is designed to track objects by spinning left and right to keep the object in sight and driving forward and backward to maintain a constant distance between the system and the object. Images are acquired through the camera of an ARM11 Raspberry Pi device which is attached to the system. This system is also implemented with automatic billing using RFID readers and tags.


INTRODUCTION

Nowadays people face a lot of problems in supermarkets. to carry things using trolleys. Mostly we need to push the trolleys that carry products. Lots of differently-abled people, old age people, and women carrying babies found it difficult for them to use. Thus there is a need for an innovative product with social acceptance that aids comfort, convenience, and efficiency in day-to-day life. Differently-abled people often find it difficult to manage the trolley in supermarkets. Imagine that there is a smart trolley that follows you simply wherever you go and carry your things of yours. So in this project, we are implementing a robot that follows specified people as a smart trolley


EXISTING SYSTEM

Study on IoT applications is a popular topic in recent years, but smart shopping systems have not been well investigated. There are some research works being published in recent years regarding improving customers’ shopping experience. We proposed the idea of tracking a customer in the store and discovering customers’ interests in order to offer personalized coupons. The idea of smart shelves and smart carts was also discussed in their work. Smart carts can be tracked using RFID technology and smart shelves can monitor the location and statuses of the items. Smart carts and are one of the first examples to address the anti-theft issue. Their design was similar to a mail receptacle: a chute, where items are inserted and scanned, then dropped into a closed chamber. The chamber had a door on the top which could only be opened if the user had paid for the items.

DISADVANTAGES

  • This smart trolley can be easily distracted if some customers wearing the same color dress and walking in front of the smart trolley 
  • It needs a High-resolution camera for perfect tracking

PROPOSED SYSTEM

This aims to help create intelligent autonomous behavior and movement control which makes it very important for the application of object trolley followers.  The camera is one type of hardware that can be used as a sensor to help identify the surrounding environment and can be connected with python. python programming language functions as digital image processing and produces an output that will be used as a control reference to follow a target based on the color on a human follower trolley robot. Python is designed for developers and researchers in the field of computer vision and artificial nerves, genetic algorithms, fuzzy logic, and robotics This research discusses the design and build new innovations from the target trolley robots. The researcher will implement a goods trolley. The benefit of robots is that can facilitate the transfer of goods from one place to another. The traditional and conservative manual trolley is not effective in terms of time and effort because the trolley system is using the hand or manual trolley when moving items. This shows that the importance of automatic trolleys makes it easier for trolley supermarket users. This tool will then follow the target using a camera sensor by detecting the colors R, G, and B from the target color using python which uses open CV as an open-source library to simplify the image processing for trolley robots. So that this trolley can help humans move things and create a sense of comfort and efficiency while doing these activities.

ADVANTAGES

  • The proposed system consists of automatic customer tracking technology.
  • The automatic billing system is implemented.
  • The customer’s time is saved.
  • The details of the product and billing are displayed.

 


BLOCK DIAGRAM

Smart Trolly
Smart Trolly

BLOCK DIAGRAM EXPLANATION

  • Raspberry pi is a microprocessor that is used in this project and it acts as a controlling device in this project
  • RFID is interfaced with raspberry pi for billing purposes
  • The camera is interfaced with raspberry pi for detecting and tracking customers
  • The LCD display is interfaced with raspberry pi which is used in displaying purposes
  • Trolley setup consists of DC motors and L293 motor driver which is used to follow the customers

HARDWARE REQUIREMENTS

  • Raspberry Pi board.
  • Camera.
  • Robot trolley
  • LCD
  • RFID READER
  • RFID TAG

SOFTWARE REQUIREMENTS

  • Raspberry pi OS: Raspbian stretch
  • Programming Platform: python 3 IDLE
  • Programing language: python 3
  • Library: OpenCV

REFERENCES

[1] Suganya. R, Swarnavalli. N, Vismitha. S, Mrs. G. M. Rajathi, “Automated smart trolley with smart billing using Arduino”, International Journal for Research in Applied Science & Engineering Technology (IJRASET), Volume 4 Issue III, March 2016 

[2] QuocKhanh Dang, Young SooSuh, “Human-following robot using infrared camera”, Institute of Electrical & Electronics Engineers (IEEE) 

[3] Sabin Adhikari, Rohit Singh, RamuRaut, “Smart Wheel Chair”,ResearchGate

 [4] Saumya Nair , Aditya Nair, Nandita Nandi, “Object Recognition Using Cascade Classifier”, International Journal of Innovations & Advancement in Computer Science (IJIACS) , Volume 7, Issue 4, April 2018

[5]. Laser-based person-tracking method And two different approaches to person following: direction-following and path following, Natural Person-Following Behavior for Social Robots, By Rachel Gockley, Jodi Forlizzi, Reid Simmons,2007.

 

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