Visual Product Identification

This project is developed to make the life of blind people easy. This is a camera-based system to scan the barcode behind the image and read the description of the product with the help of Id stored in the barcode. This is very beneficial in case of finding out the description of package

Project Title

Visual Product Identification

Project Area of Specialization

Computer Science

Project Summary

This project is developed to make the life of blind people easy. This is a camera-based
system to scan the barcode behind the image and read the description of the product with
the help of Id stored in the barcode. This is very beneficial in case of finding out the
description of packaged goods to the blind people and thus helping them in deciding to
purchase a product or not especially, which are packaged. This is because it becomes very
difficult for the blind people to distinguish between the packaged goods. In order to use
this system, all the user needs to do is capture the image on the product in the mobile phone
which then resolves the barcode which means it scans the image to find out the Id stored.
Thus, this application really benefits blind and visually impaired people and thus making
their work of identifying products easy. This is very easy to use and affordable, as it
requires a scanner to scan the barcode and a camera phone to take the picture of the image
containing the barcode. This is now easy to implement as most of the mobile phones today
have the required resolution in order to scan the barcode to identify the Id stored in it and
read out the product description. This project can be implemented in any shopping mall,
supermarket, Bookstores, Medical stores etc.

Project Objectives

The aim of this project is to develop an algorithm that will enable blind users to get
information about a particular product. We build on our recent work focusing on
reading a barcode (assuming it has already been segmented) using a Bayesian
deformable template algorithm that combines a prior model of the geometric shape of
the barcode pattern with a likelihood model that evaluates evidence in the image for
edges. Such an approach is a principled technique of decoding noisy barcode images
that contain spurious (or missing) edges. A related approach, also based on deformable
templates, can successfully decode barcodes from extremely blurry and noisy pictures.
Finally, we note that there is growing interest in the use of 2D barcodes, which are
better suited to acquisition by camera than 1D barcodes, and encode information more
densely. While 2D barcodes will one day, supplant their 1D predecessors, at present
almost all packaged goods are still labeled with 1D barcodes, which is why this paper focuses on them.

Project Implementation Method

Our application will be divided into two modules and then each module will be
implemented one by one. Flutter will be used to develop application and
Dart will be the programming language.

Benefits of the Project

These days every Commercial business may it be a small pin to large products, business
cards to Webpages uses Barcodes or QR codes. So we take these developments in
technology to help visually impaired people to identify a product using barcode Scanners
and Text to Speech. The user opens the app, which in turn opens the camera and ready to
scan the barcode, one it finds it will read all the details of the product like Name,
description, cost, expiry date etc

Technical Details of Final Deliverable

? Android mobile with a minimum version 2.2.
? Smart watch with Bluetooth range 15meters
? The processor is not less than 500MHZ.
? RAM is not less than 2048MB.
? SD card with a minimum of 512MB.
? Resolution is not less than 480*800pixs.

Final Deliverable of the Project

Software System

Core Industry

IT

Other Industries

Core Technology

Others

Other Technologies

Sustainable Development Goals

Life on Land

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com