BillinGard is based on auto billing system in Pharmacies, medical stores and grocery stores in which less human interaction and involvement is required. The cashier less stores or pharmacies are the new disruptive concept in the retail space that is fast catching up and gradually gaining
BillinGard
BillinGard is based on auto billing system in Pharmacies, medical stores and grocery stores in which less human interaction and involvement is required. The cashier less stores or pharmacies are the new disruptive concept in the retail space that is fast catching up and gradually gaining traction in the market. We will build a system which will be a combination of both hardware and software part. BillinGard will use a mounted camera on conveyer belt to detect product or medicines, then controller will take product’s data and store it in databases, then with a help of built website, it will generate auto bill for a customer by using trained dataset of product’s description and their prices. It will help customer in quick exit after shopping from stores, malls because long queues on various store’s exit is hectic for a customer. No matter how many checkout lines brick-and-mortar stores facilitate, ensuring a swift movement has been quite a task. Standing in a long billing queue at a grocery store and pharmacies anxiously waiting for one’s turn is an experience that every shopper can resonate with. BillinGard can be used in various businesses such as grocery stores, medical stores, malls, pharmacies and supermarkets. This project has a desire to move consumers to a digital payment option and away from cash and checks. The ultimate goal of this projects is to reduce lines and increase foot traffic.
In case of pharmacies and medical stores, this project will be even more useful because emergency can happen any time and in case of emergency long queues on checkout is not bearable. Our system will allow to store, maintain, and update patient's diagnoses, testing, treatments, and bills easily and efficiently. This system will be not only a detection system used for auto billing in medical stores and malls but also an inventory system as well which will have complete information about inventory and stock of all products and medicines. So that if any medicine or product is out of stock the owner can know this before and can have backup stock.
The nature of our project is to bring innovation in shopping. Our project is based on cashier less stores which requires less human labor and interaction. The Cashier less stores are the new disruptive concept in the retail space that is fast catching up and gradually gaining traction in the market. After all, it is a solution that offers a seamless shopping experience while skirting the pain points of customers.
The ultimate goal of this projects is to reduce lines and increase foot traffic. This project has a desire to move consumers to a digital payment option and away from cash and checks. It will help customer in quick exit after shopping from stores and malls because long queues on various store’s exit is hectic task for a customer.
Object detection has been a fundamental problem in computer vision for many years. Object detection methods can form fundamental building blocks for more complex computer vision tasks for things such as object tracking. The check-out process is one of the biggest pain points in shopping. Standing in a long billing queue at a grocery store and anxiously waiting for one’s turn is an experience that every shopper can resonate with. No matter how many checkout lines brick-and-mortar stores facilitate, ensuring a swift movement has been quite a task.
The recently established concepts vary and a deeper understanding of the underlying functionality is still
missing. Our qualitative project gives an overview of the design dimensions, challenges and opportunities
for cashier less stores.
Our project consists of two main components: the implementation of a detection system and the
development of a user interface website. The detection system will allow us to detect objects in stores or
malls. It will use a camera to identify objects in the equipment’s path.
Project methodology:
Technologies:
Backend:
Frontend:
Platforms:
Hardware:
It will provide following benefits:
In case of pharmacies and medical stores, this project will be even more useful because emergency can happen any time and in case of emergency long queues on checkout is not bearable. It will help in automating the time-consuming process like invoice generation, products tracking, other accounting documentation etc. Moreover, the software will automatically calculate and apply tax on the taxable products so that you need not worry about the tax at every time of billing. Our project should be accepted as it will minimize the risk of human error during billing and totaling as human interaction will be less. It will also reduce the human labor for this task. Our solution is especially helpful for businesses with a large and diverse customer base, a wide range of products/services provided, subscription or retainer billing models. It can support general-purpose and industry-specific (e.g., medical, telecom, transportation) billing.
SOFTWARE ASPECT:
List of product deliverables:
1- UI – Website:
A complete system for user interaction with the detection system. It will take product’s data from controller which is identified by camera. Then it will store that data in system’s database.
2- Admin system:
3- Cashier Role (For backup):
HARDWARE ASPECT:
List of product features:
List of product deliverables:
Detection System:
1- Scanner – Camera:
2- Controller:
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| Raspberry Pi Controller | Equipment | 1 | 16000 | 16000 |
| Pi Camera | Equipment | 1 | 17000 | 17000 |
| LED Screen | Equipment | 1 | 15000 | 15000 |
| Report Printing | Miscellaneous | 3 | 3000 | 9000 |
| Total in (Rs) | 57000 |
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