3DPass is a Web 3.0 platform that tokenizes real and virtual objects into digital assets using its unique Proof of Scan consensus and 3DP Coin.
3DPass is a decentralized Layer 1 blockchain-based Web 3.0 platform that enables the tokenization of physical and virtual objects into digital assets. It utilizes a unique Proof of Scan consensus method and the pass3d recognition toolkit, which assigns each object a unique HASH ID for identification and validation. By integrating physical objects into smart contracts, 3DPass bridges the gap between the digital and physical worlds, enhancing authenticity and ownership verification. The platform incentivizes network participants with 3DP Coin and has achieved significant milestones since its inception, including testnet and mainnet launches in 2022, with further advancements in object recognition and exchange listings underway.
3DPass is a decentralized Layer 1 blockchain-based Web 3.0 platform that enables the tokenization of physical and virtual objects into digital assets. It utilizes a unique Proof of Scan consensus method and the pass3d recognition toolkit, which assigns each object a unique HASH ID for identification and validation. By integrating physical objects into smart contracts, 3DPass bridges the gap between the digital and physical worlds, enhancing authenticity and ownership verification. The platform incentivizes network participants with 3DP Coin and has achieved significant milestones since its inception, including testnet and mainnet launches in 2022, with further advancements in object recognition and exchange listings underway.
3DPass is an open-source, Layer 1 blockchain-based Web 3.0 platform designed for the tokenization of both physical and virtual objects, transforming them into digital assets. The platform leverages Proof of Scan consensus and the pass3d recognition toolkit to create unique HASH IDs for objects, facilitating their use in smart contracts. This enables the integration of real-world objects into digital deals, promoting broader utilization and authenticity in the Web3 ecosystem.
3DPass uses its proprietary pass3d recognition toolkit to generate unique HASH IDs for each tokenized object. This process is governed by its Proof of Scan consensus mechanism, ensuring that every object’s digital representation is both unique and verifiable. As a result, 3DPass can confidently authenticate physical and virtual objects, making them reliable for use in smart contracts and other blockchain-based transactions.
3DPass provides users with the ability to transform real-world and virtual objects into digital assets, facilitating their integration into smart contracts. The platform uses unique HASH IDs to ensure authenticity, allowing for accurate representation in digital transactions. Users are rewarded with 3DP Coin for maintaining network integrity and resolving issues, which enhances both network security and user engagement.
Unlike other blockchain projects, 3DPass specializes in the tokenization of both physical and virtual objects, offering unique HASH ID verification for authenticity. The platform employs a distinct Proof of Scan consensus mechanism, along with the pass3d recognition toolkit, setting it apart from competitors. These innovations allow 3DPass to bridge the gap between physical assets and blockchain technology effectively, enabling new forms of digital interactions.
3DP Coin is the native cryptocurrency of the 3DPass network, used to incentivize users for maintaining network integrity and solving issues. It is a critical component for transferring and managing digital assets on the platform, as well as for adjusting algorithms within the recognition tool. This enhances the system's accuracy in distinguishing authentic assets and offers a tangible reward mechanism for active participants.
If an object is not recognized correctly, users should check if the object's parameters meet the system requirements and adjust the algorithm’s recognition settings within the pass3d toolkit. Engaging with the 3DPass community for assistance and updates may also provide solutions. The platform continuously develops its recognition algorithms, aiming to overcome such challenges and improve accuracy, making user feedback valuable for ongoing improvements.
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