1. Fake logo detection using CNN.
- Author
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Swamy, P. Kumara, Yamsani, Y. Nagendar, Kumar, V. Manoj, Kumar, B. Vijay, and Marrikukkala, Ranjith Kumar
- Subjects
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PRODUCT counterfeiting , *EMBLEMS , *MANUFACTURING industries , *CONSUMERS , *FORGERY - Abstract
Every year, manufacturers lose a big component in their sales to unauthorized knock off producers and counterfeits. Moreover, due to the fact such counterfeit products are usually of an inferior quality, additionally they emerge as detrimental the credibility of the emblem. Many a instances' consumers moreover get cheated out in their hard-earned coins as they turn out to be shelling out an exorbitant amount of cash for an insignificant counterfeit. This Logo Detection app goals to help customers distinguish forgeries from the unique product. Using this tool, a patron can verify whether or not or no longer a product is in fact a unique. This software also can be useful for manufacturers suffering to combat against cast products. A emblem recognition is to recognize fake produced or forged emblem merchandise. The process is to identify the logo and bear in mind the likeness of the pattern brand logo. We used the logo recognition procedure by CNN algorithm and with some techniques. By this process, the logo of the products is being set as sample product facts for having a dataset. By this process, we will identify the forged or fake emblem with 97% of confidence and real brand emblem with 99% self belief rankings. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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