Smart Shopping Cart

Project Title

Smart Shopping Cart

Project Area of Specialization Artificial IntelligenceProject Summary

? According to some estimates people spend more than 60 hours per year standing in a check-out line. At the billing counter, the customer may face many problems like waiting and don't know even if they have sufficient money for the products they purchase. The billing process at the counter is time-consuming and
also needs more human resources in the billing section. Customers who need to purchase different products in supermarkets need lots of time and patience in coordinating among themself for successful shopping.

A cashier-less checkout changes everything as a shopper is immediately
identified upon entry and can grab products from the shelf and leave the store
without having to interact with the cashier.

Project Objectives

According to a recent Deloitte survey, 33% of grocery shoppers already say that digital tools make grocery shopping easier. We visited Many grocery stores to answer one question “how can we build something that store owners & operators really want?” After research, we learned grocers expressed their demands in the simplest of terms. They wanted “something that just works like magic.”

The main objective of our project is to reduce the time required for payment smart Carts, which allow shoppers to skip checkout linesin various shopping stores. we propose a smart shopping cart system based on low-cost IoT equipment and deep learn-ing object detection technology.

Project Implementation Method

we use an agile methodology for project implementation. Agile uses sprints, which are short project cycles, to continually release.

Project Implementation method

Define (Business analysis, requirement gathering )

Design(prototyping, system architecture, test plan)

Develop (documentation ,application construction )

Deploy (hardware & software installation, preparing test environment, build release)

deliver (production environment setup, project live)

Benefits of the Project

• Smart Carts, which allow shoppers to skip checkout lines while enabling a highly engaging, fun, and fast way to shop

• During the unprecedented COVID-19 situation Smart Cart technology is a solution that facilitates contactless checkout by allowing customers to directly check out on the cart.

• enhancing the customer shopping experience and learn how best to make it faster and easier.
   

• The smart cart helps put customers in total control of their shopping. It’s very userfriendly: No lines, no registers

• artificial intelligence-enabled shopping carts are a less costly alternative to retrofitting an entire store with cameras and sensors

• The smart shopping save time and money of customer and shopping mall
• The customer buys the product and leaves the store without checkout.

Technical Details of Final Deliverable

• Our smart shopping carts are equipped with sensors and computer vision, which enables autonomous checkout without requiring a retailer to make any infrastructure changes
• The proposed smart cart system consists of a camera for real-time product detection, an ultrasonic sensor that acts as a trigger, a weight sensor to determine whether a product enters into or out of
  shopping cart.
• Application of smartphone that provides a UI for a virtual shopping cart, and a deep learning server where learned product data are stored
• YOLO darknet library, an object detection system is used by the server to recognize the product.

Tools and Technologies

• Computer vision (object detection )

• Sensor fusion (process multiple sensors data)

• Android Studio (IDE)

• Java (for application development)

• Sqlite (for the database )

• Python (for deep earning)

• AWS cloud services (for deep learning)

Final Deliverable of the Project HW/SW integrated systemCore Industry ITOther Industries Food , Finance Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT), Cloud InfrastructureSustainable Development Goals Industry, Innovation and InfrastructureRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	32900
Weight sensor (5kg)	Equipment	2	250	500
RaspberryPi	Equipment	1	7000	7000
Pi Camera 60fps to 90fps	Equipment	2	8000	16000
Battery (9 v)	Equipment	1	1500	1500
Shopping cart	Equipment	1	6000	6000
ultrasonic sensor	Equipment	200	2	400
mockup paper	Miscellaneous	1	500	500
stationary	Miscellaneous	1	1000	1000