‘Proof of Humanity’ Project With Palm Recognition Technology Announces Partnership With Polygon Labs and Animoca Brands

خلاصہ:A new crypto project backed by the team behind Polygon (MATIC) wants to introduce a new “proof of hu

A new crypto project backed by the team behind Polygon (MATIC) wants to introduce a new “proof of humanity” protocol.

According to a new press release, the Humanity Institution, in partnership with Polygon Labs and Animoca Brands, is introducing a new zero-knowledge-proof, Ethereum Virtual Machine (zkEVM)-compatible blockchain that uses palm scanning technology.

Using palm-scanning tech to prove users are real and not AI, the protocol relies on a “proof of humanity” mechanism to verify identity, similar to how Sam Altmans Worldcoin (WLD) uses iris-scanning technology. The absence of such invasive ID protocols is what gives Humanity Protocol an advantage, the announcement says.

Says Yat Siu, co-founder and executive chairman of Animoca Brands,

Existing Proof-of-Personhood technologies can be invasive, complex, or burdensome. By leveraging the cutting-edge technology using non-invasive biometrics that lie at the core of the Proof-of-Humanity consensus mechanism,

Humanity Protocol is building a user-centric ecosystem that can onboard millions to a verifiable digital identity solution that is truly decentralized and respects the principles of true digital ownership, in the process enabling better equity and inclusion for all participants.

According to the press release, the partnership will result in a wide range of web3-based applications, from “fully on-chain games and Decentralized Social Media (DeSO) to enterprise DeFi solutions, Faridrops, Network States, Real World Assets (RWA), and Decentralized Physical Infrastructure (DePIN) systems.”

The protocols testnet launch is imminent, according to the release.

ڈس کلیمر

یہ مضمون صرف مصنف کی ذاتی رائے پر مبنی ہے، یہ پلیٹ فارم کی سرمایہ کاری کی مشورہ نہیں ہے۔ پلیٹ فارم مضمون کی معلومات کی درستگی، مکملیت اور بروقت ہونے کی کوئی ضمانت نہیں دیتا، اور مضمون کی معلومات پر اعتماد یا استعمال سے ہونے والے کسی بھی نقصان کی ذمہ داری قبول نہیں کرتا۔