Humanity, the Decentralized ID Rival to World, Advances Mainnet Plans

Last Updated on January 14, 2025

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Key Takeaways:

  • Foundation Launch Marks Key Milestone: The Humanity Foundation, a critical part of the Humanity Protocol, was launched to advance decentralized identity (DID) and zero-knowledge proof (ZK-proof) technologies.
  • Privacy-Focused Biometric System: Humanity Protocol uses palm recognition for proof-of-humanity, ensuring privacy with encrypted data stored across distributed nodes.
  • Competition with Worldcoin: Humanity’s less invasive palm recognition contrasts with Worldcoin’s iris scanning, aiming to enhance user-friendliness and data security.

On January 14, the Humanity Foundation was introduced, marking a significant step toward the Humanity Protocol’s token generation event (TGE).

The protocol focuses on decentralized identity (DID) and zero-knowledge proof (ZK-proof) technologies, offering a privacy-centric solution for verifying unique identities while safeguarding personal information.

Led by Animoca Brands chairman Yat Siu, Mario Nawfal of International Blockchain Consulting, and Yeewai Chong, the foundation aims to advance biometric-based identity systems.

The Humanity Protocol employs palm recognition technology to verify user identities, providing a less invasive alternative to Worldcoin’s iris scanning system.

This privacy-first approach stores encrypted biometric data across zkProofers or distributed nodes instead of centralized servers, allowing users full ownership and control of their data.

Founder Terence Kwok highlights the system’s user-friendliness and potential scalability for applications like payments and building access.

Humanity’s approach contrasts with its competitor World, backed by OpenAI CEO Sam Altman.

While Worldcoin analyzes iris patterns, Humanity’s palm recognition technology is perceived as less intrusive and more familiar to users.

The Humanity Foundation’s launch signals progress in the protocol’s roadmap, though a date for its TGE remains unannounced.

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