In addition to all the benefits of network agreements without consent, it also makes it easy for everyone to forge and embezzle irreplaceable tokens (NFT) at will. In fact, the fake group of NFT exceeded 90 million points. After all, in an unapproved system, how to prevent poor artists from producing virtual coins to deceive unsuspecting consumers or endanger brand credibility?

Only the 20 new NFT projects with the largest number of copies will have 8 million knockoffs.Copy it on the NFT market.

Because NFT is useful only because of its unique nature, soImitation showTo consumers, NFT is worthless from the source. They represent that in addition to the economic losses of customers and creators, they will continue to bring a lot of credibility costs. This is especially bad for new industries like NFTs.

The "uniqueness" of NFT assets and scarce resources are the key to the target group. This is all about the quality of attracting long-term candidates in this field. However, although the "dynamic password" in the chain itself is likely to be unique and irreplaceable, it is forged, replaced or even deleted through metadata mapping to other books. This is also one of the core technical tests faced by NFT founders today.

It is now clear that the NFT market should strengthen the protection of the rights and interests of users and creators from the effects of copying, counterfeiting and intellectual property infringement.

But for them, the biggest problem is:How to protect customers from plagiarism while ensuring that unauthorized permission and decentralized Internet spirit are not affected?

Replication Paper Industry improves together with NFT

Despite a long-standing bullish trend, NFT sales exceeded 101 million in 2022, nearly 67 per cent higher than in 2021. In January 2023, the total monthly turnover of NFT in each market reached US $1 billion, and by 2030, the sector has entered the market of US $231 billion. In 2022, the number of NFT trademark licenses reached a new high, further illustrating the continued growth of the industry. But the need for NFT is growing not only among selectors, but also among deliberate individual actors.

Plagiarism is one of the more common scams involving NFT. This method involves a cyber attack to deceive a customer into thinking that his collectionOriginal design. In fact, it's just a copy.Or plagiarism of another NFT, although this is one of the most popular NFT. For example, the boring ape golf driving range has 10000 original design NFT and more than 4 million fake NFT.

In most cases, the mint makes only minor adjustments to the initial personal collection, such as highlighting, mirroring systems, framing and pixel solutions to the initial personal collection. Other methods include changing sizes, changing tones, and adding unblended text or emoticons.

Fraudsters also frequently use filters to build unreal NFT. Sometimes printers make clear-to-pixel copies from accounts with fake dark blue check marks and unauthorized brand logo books. This also makes it difficult for customers to distinguish between original designs and counterfeit products.

With several NFT on the market every day, manual inspection of their counterfeit goods is becoming more interesting.

Artificial intelligence can restore the integrity and originality of NFT.

One way to ban counterfeit banknotes is to remove the "unauthorized license" feature on the NFT platform and limit the power over NFT. However, this will put the cart before the horse with Web3's fighting spirit, leaving the NFT market in a desperate situation.

NFT marketplaces, brands and founders must be able to effectively test solutions for fakes without banning access or strict checks on such platforms. The software of artificial intelligence-driven content identification and fraud detection system is realizing the dream for this goal.

They can distinguish between authentic and fake products to an extent that is indistinguishable to the human eye. In particular, with the continuous growth of the total number of new projects in NFT, the artificial intelligence entity model has become a changer of the rules of the anti-counterfeiting game. This solution can solve hundreds of millions of assets with 99.9% accuracy every day.

In fact, some of the largest NFT markets, including OpenSea and Rarible, have recently made extensive use of artificial intelligence solutions to assist in near-real-time plagiarism detection. This means that artificial intelligence solutions can evaluate a new and existing combination to obtain universal parameter values. According to the conclusion, they can identify the hidden misrepresentation of NFT and delete it in time or notify the moderator of the market forum to take further actions.

Although replication troubles all stakeholders in the NFT field at this stage, indigenous and innovative solutions like this can provide a better tomorrow. Compared with the most original untampered chain data to identify counterfeits, they can restore authenticity and effectiveness.And originality.Free trade in our country.

Doing so will greatly boost market confidence, attract more organizational assets and strengthen selection. With the improvement and maturity of NFT, this is one of their most valuable assets.

Andrey Doronichevis a co-founder of Optic, AI powered content recognition engine. He is passionate about building digital creator ecosystems. Previously served as Product Director at Google, where he helped to launch its Metaverse initiatives, including AR, VR and Stadia and led YouTube Mobile to launch ContentID.