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Brand Protection: Combating Online Counterfeit with AI

AI logo recognition

 

Online sales of branded and luxury items have been rising drastically, in the recent decade. While all the brands are investing big money on establishing online stores, organizing marketing campaigns and doing all the operation enhancements, on the other hand, the online counterfeit sellers are taking a free ride on brand owners’ effort and investment. According to The Global Brand Counterfeiting Report 2018, in 2017, online counterfeiting was estimated to have been responsible for losses of USD30.3 billion in the high-end consumer goods sector, which accounted for 31% of the total losses (USD98 billion) from counterfeiting of the sector. Of all industries and sectors, losses suffered due to online counterfeiting globally has amounted to USD323 billion in the year 2017.

 

Besides the huge financial losses caused to the industry, counterfeit selling is also found to be an important source of income for terrorists. According to Edward Fox, the Customs and Border Protection's acting port director of the Port of New York and New Jersey in Newark, “those dollars (income generated from counterfeit selling) are going to support drug trafficking organizations, organized crime and in some cases terrorist organizations”. For example, “terrorists who attacked the French magazine Charlie Hebdo in 2015 financed their weapons partly by selling fake Nike sneakers”. On a personal level, buying counterfeit goods such as fake drugs is illegal and potentially harmful to health, for example, resembling Viagra is a recently rising fake drug. Thus, brand owners, authorities and payment processing organizations are very serious in combatting IP infringement activities.

 

To discover and monitor the brand-damaging content and counterfeit on the internet, web crawling is a technology commonly used by brand owners as well as banks and payment companies, which have to fulfill the requirements of card schemes like Visa GBPP (Global Brand Protection Program) and Mastercard BRAM (Business Risk Assessment and Mitigation Program). During the merchant onboarding and monitoring process, many banks use web crawling tools or employ third party service providers to scan the merchant site to see if there is any high-risk content (e.g. pornography, gambling, drugs, counterfeit etc), security loopholes and other risk concerns. Comparing with manual eye-ball checking, web crawling can be more efficient and cost-effective.

 

Nevertheless, while web crawling technology helps to save a lot of time and human resources in checking an e-commerce website, a weakness of most of the current web crawling tools is that they can only do text-based crawling. That means bad merchants can easily bypass the keyword monitoring by using some ambiguous description with product photos. For example, we see many counterfeit sellers use “luxury”, “top quality”, “Europe brand”, “France brand”, “famous brand” etc to describe the IP infringing products. Buyers can easily recognize the branded item with the product pictures but a web crawler does not. Therefore, many illegal and counterfeit items were missed if brand owners and banks rely on traditional text-based web crawling methods.

 

Now, benefit from the development of artificial intelligence, brands or logos can be recognized by AI image analysis. And this technology has been adopted in some new web crawling tools or services. With this technological advancement, even if the counterfeit sellers use general wordings to describe the branded items, the new web crawlers can still recognize the logo or other signature graphics from the product pictures. We see that image recognition is a trend in brand protection, marketing, security, and many other scenarios. It is a good time for brand owners and banks to evaluate and upgrade their monitoring tools so as to better protect their businesses. Online brand recognition is just a start, we foresee that offline brand recognition will be in use everywhere shortly.

AI logo recognition
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Brandon Li

Brandon Li

Product Manager

Austreme

Member since

15 Feb 2018

Location

Hong Kong

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