Predictive Intelligence-based Store Management System

Project Title

Predictive Intelligence-based Store Management System

Project Area of Specialization Electrical/Electronic EngineeringProject Summary

Today, new and emerging technologies enable an almost seamless interaction between machines and humans and allow teams in different countries and time zones to collaborate effectively. They are reshaping the ways we live and work, and their effects naturally influence product development. The need for such high-tech is ever growing since a country’s prosperity is often linked to its modernistic approach towards almost everything.

Pakistan’s future economy and defense systems will strongly depend on our own skills to be a part of the great revolution that is knocking on our doorsteps. Rather than be a consumer that makes us totally dependent on foreign software and hardware even at crucial times, we must become a player and manufacturer of the new systems ensuring phenomenal economic dividends as well as our own security.

We plan to develop a futuristic automated system for the superstores (retail stores) with embedded intelligence. The design of the proposed system will be built using strong foundations of machine learning and edge computing. The idea behind the project is to make an efficient system for customers as well the store staff. We wish to achieve this by keeping a check on inventory, monitoring store traffic and tracking and estimating the customers’ transactional behavior with the intention to provide customers, user-based as well as item-based useful and most relevant recommendations.
Our main goal is to improve the overall efficiency of the store management process in terms of customers ease, store management efficiency and to avoid unexpected human behavior mishaps (Woes). 
Our system will be comprised of multiple cameras to capture the input data which will be fed into the processing unit (R-Pi) running the pre-trained models for specific tasks to make overall intelligent decisions.
This project involves modern tools usage with a great societal impact. The idea has a wide scope in terms of futuristic research and innovation.

Project Objectives

The main aim of our project includes:

1. Designing and development of prototype store management system.
2. Usage of modern tools.
3. Designing and development of inventory management system.
4. Development of traffic administration.
5. Designing and development of real time recommender systems.
6. Designing and Development of real time video monitoring system using Raspberry PI.
7. Designing and Development of Real time detection system using Raspberry PI.

Project Implementation Method

Our projected is being implemented through the following steps:

1. Testing different pre trained models and analyzing their results.
2. Opting for best suitable models.
3. Integration of models to streamline them.
4. Designing and Development of real time video monitoring system using Raspberry PI, PI cam and PI OS.
5. Designing and Development of real time detection system using Raspberry PI, PI cam and PI OS.
6. Getting edge device ready for real time tasks.
7. Deploying application on edge device.

Benefits of the Project

We can benefit from the project with respect to the following perspectives:

1. Reduced manual work/ Indirect labor savings.
2. Financial feasibility for the store.
3. Improved advertisement and marketing.
4. Time efficiency.
5. Provision of shopping assistance in a user-friendly way.
6. Easy to implement for different purposes like security.
7. Data gathered can be used in future for analysis of customer’s behavior and his interests.
8. Information Analysis about varying trends in marketing.

Technical Details of Final Deliverable

Our project will have following deliverables:

1. Integrated system of image recognition, artificial intelligence and machine learning.
2. Pre trained models deployment.
3. Prototype of store setup and inventory.
4. Implemented live recommender system.
5. Raspberry Pi based Live Streaming and Monitoring System.
6. Raspberry PI based Live Object Detection System.
7. An integrated Hardware and Software System.

Final Deliverable of the Project HW/SW integrated systemCore Industry OthersOther Industries Telecommunication Core Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Decent Work and Economic Growth, Industry, Innovation and Infrastructure, Sustainable Cities and CommunitiesRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	36500
Raspberry-pi 4B	Equipment	1	28000	28000
Raspberry-pi case	Equipment	1	450	450
R-pi heat sinks	Equipment	3	70	210
Pi camera	Equipment	1	1000	1000
Pi HDMI cable	Equipment	1	500	500
VGA cable	Equipment	1	150	150
Cable converter	Equipment	1	350	350
SD card and card reader	Equipment	1	1800	1800
Travelling and Delivery	Miscellaneous	6	250	1500
Store Setup	Miscellaneous	5	508	2540