Docsity
Docsity

Prepare for your exams
Prepare for your exams

Study with the several resources on Docsity


Earn points to download
Earn points to download

Earn points by helping other students or get them with a premium plan


Guidelines and tips
Guidelines and tips

Online Fake Logo Detection System - Prof. H E, Cheat Sheet of Software Project Management

The online fake logo detection system is a project that aims to help consumers distinguish genuine products from counterfeit ones by analyzing the logo on the product. This system uses advanced image processing techniques to detect any discrepancies between the uploaded image and the original logo, providing a confidence score to determine the authenticity of the product. The project is developed using the django framework with python as the programming language. It can be particularly useful for brands struggling to combat logo piracy and protect their brand reputation, as well as for consumers who want to ensure they are not being cheated by purchasing counterfeit goods. The system architecture involves data collection, model training, and logo detection, with the goal of providing a simple and user-friendly interface for users to verify the authenticity of products before making a purchase.

Typology: Cheat Sheet

2023/2024

Uploaded on 05/12/2024

shreepada-m-r
shreepada-m-r 🇮🇳

1 / 8

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Online Fake Logo Detection System
1) Background/ Problem Statement
Every year, brands lose a significant portion of their sales to unauthorized knock
off brands and counterfeits. Moreover, since such counterfeit products are
usually of an inferior quality, they also end up damaging the credibility of the
brand.
Many a times consumers also get cheated out of their hard-earned money as
they end up shelling out an exorbitant amount of money for a mere counterfeit.
This Logo Detection app aims to help consumers distinguish forgeries from the
original product. Using this system, a consumer can verify whether a product is in
fact an original.
This application can also be helpful for brands struggling to fight against forged
products.
pf3
pf4
pf5
pf8

Partial preview of the text

Download Online Fake Logo Detection System - Prof. H E and more Cheat Sheet Software Project Management in PDF only on Docsity!

1) Background/ Problem Statement Every year, brands lose a significant portion of their sales to unauthorized knock off brands and counterfeits. Moreover, since such counterfeit products are usually of an inferior quality, they also end up damaging the credibility of the brand. Many a times consumers also get cheated out of their hard-earned money as they end up shelling out an exorbitant amount of money for a mere counterfeit. This Logo Detection app aims to help consumers distinguish forgeries from the original product. Using this system, a consumer can verify whether a product is in fact an original. This application can also be helpful for brands struggling to fight against forged products.

2) Working of the Project

  • Counterfeit products usually have an inferior built quality and along with stealing sales, they also damaging a brand’s reputation in the long run.
  • Along with harming a brand’s sales and reputation, unaware consumers also get cheated out of their money.
  • This Logo Detection project aims to help users identify forgeries by analysing the logo on the product.
  • Along with helping users identify the logo, this app also helps brands combat logo piracy.
  • This project is developed using the Django framework with Python as programming language.

4) Advantages

  • This project can help customers verify the authenticity of a product before purchasing it. Thereby, preventing them from getting swindled.
  • Along with helping consumers, this project is also helpful for brands in their fight against logo piracy and counterfeit goods.
  • This system has been designed to be extremely simple and user friendly and can be used by anyone.

5) System Description The system is comprised of 1 entity and its modules:

  • User ➢ Upload Image ►The user can click and upload images in .jpg or .png format of the logo they want to detect. ➢ Logo Detection ►Once the logo is uploaded, the system will analyse the image based on parameters such as dimensions, colour, text, etc. ►After examining these parameters, the system generates a confidence score. ►A confidence score of less than 90% means that the logo is fake.

7) Possible Outcomes

8) System Requirements

I. Hardware Requirement

a. Laptop or PC

 I3 processor system or higher

 4 GB RAM or higher

 100 GB ROM or higher

II. Software Requirement

a. Laptop or PC  Windows 7 or higher  XAMP or WAMP Server  Python  Text Editor (Notepad++ or Sublime Text)

9) Limitation/Disadvantages

 This system can be affected due to bad network.  Incorrect inputs will generate unfavourable results.

10) Application

 Along with helping users identify the logo, this app also helps brands combat logo piracy.

11) Reference

 en.wikipedia.org  https://ieeexplore.ieee.org/document/9440236/  https://ieeexplore.ieee.org/document/8986207/  https://ieeexplore.ieee.org/document/9391842/

 https://ieeexplore.ieee.org/document/