3DPass: The Ledger of Things L1| New Proof of Scan algo

[3DPass]

Reddit channel has been launched: https://www.reddit.com/r/3DPass/

[3DPass]

Hello!

We decided not to do IDO. Given the fact that we managed to implement 3D object recognition algorithm into Substrate and build the NODE and that we are going to launch testnet in a month, it doesn't make sense. Moreover, we believe, it helps to make the "runway" even more transparent.

https://3dpass.org/news.html
 

[3DPass]

Welcome to 3DPass testnet rewards program!

https://3dpass.org/distribution.html#contribution

Given the fact, we need about a month, since the testnet starts, to be sure that all the essential bugs, revealed by the time, are fixed and the network behaves as it's suppose to. We call the community not to wait long and get involved right away from the testnet launch date.

Public DEX mechanizm of guarantee

We propose to use a Substrate-to-Substrate cross-chain bridge between the testnet and the mainnet to make participants able to exchange their test 3DPs for mainnet 3DPs (1 for 1), as long as the test 3DPs was mined before the mainnet genesis block time.

Due to the fact that those two networks are equal, there will be no problem to use Marketing budget issued in the testnet genesis block. So, we don't need to wait for mainnet to launch. Testnet 3DPs will be blocked by the smart-contract logic, as well as the equal amount of mainnet ones from the mainnet Marketing budget. Then equal amount of mainnet 3DPs will be available for its testnet owner.

This mechanism guarantees for testnet users the ability to hop their testnet 3DPs over to the mainnet.

Runway:

    2022 March 30th: testnet launch
    2022 April: testing around testnet, bugfix
    2022 May: mainnet launch
    2022 June: DEXes listing; FinexBox exchange listing (already have their proposal)

Full road map: https://3dpass.org/road_map.html

Rewards program

All the activities, covered by the program, will be paid only in 3DP Coins. No other currencies accepted. Estimation rate: 1 3DP = 0.00495 USD for all activities required resources to get involved. This rate was calculated assuming the amount of 3DPass team's funds around 500 000 USD we have invested by now. Team share is 10.1% = 101 000 000 3DP. We believe in principles of fair partnership and propose to contribute on the equal conditions.

For example, if you applied for the budget to solve the issue from the list down below, the rewards would be estimated assuming the certain amount of hours needed to and the average market price for the equal service. However, the final amount will be determined in negotiation. The most important questions will be resolved by means of voting process.

Activities to speed up 3DPass

Developers:

    3DPass NODE issues: https://github.com/3Dpass/3DP/issues
    Mobile wallet issues: https://github.com/3Dpass/threedpass/issues
    Things recognition issues: https://github.com/3Dpass/pass3d/issues
    Mining issues: https://github.com/3Dpass/pass3d/issues/6

NODE holders (validators):

    Validation service fee: https://github.com/3Dpass/3DP/wiki/Comissions-and-rewards#validation-service-fee

Miners:

    Mining rules: https://github.com/3Dpass/3DP/wiki/3DP-Coin-mining-rules
    Mining rewards: https://github.com/3Dpass/3DP/wiki/Comissions-and-rewards#mining-rewards

Marketing activities:

    Local translation
    PR
    Articles
    Social Media, etc.

Marketplaces, Games, DEXes, E-commerce, Jewelry, and other projects:

    3DPass HASH ID feature integration, 3DPass blockchain integration

Early investors

At this early stage we are interested only in partners who will add essential value to 3DPass throughout at least upcoming 3 years making their projects around the platform. Feel free to make your suggestions and apply some projects to participate in 3DP 6% private sale.

Join Discord to apply: https://discord.gg/u24WkXcwug

[keep168]

"Chinese translation done.
I hope everyone works equally hard.
https://bitcointalk.org/index.php?topic=5388528.new#new

[Cee2]

Is it foreseen to also be able to scan 2D files like a piece of paper or a simple jpeg?

Since the tokenisation of fingerprints are mentioned, would this be the actual finger of the person getting scanned or a picture of the fingerprint?

[3DPass]

Is it foreseen to also be able to scan 2D files like a piece of paper or a simple jpeg?

Outstanding! Moreover, this idea might be extended to recognition of such things as: voice, face, melody, radio signal...

Since the tokenisation of fingerprints are mentioned, would this be the actual finger of the person getting scanned or a picture of the fingerprint?

I think, both methods might be useful and eventually implemented, but we should do some research. We'd better use standards where it's possible to make it compatible with different pro scanning devices. I've seen a lot of open source implementations of fingerprint recognition algos. I would take a look at them first trying to figure it out, if there is something existing to implement.

[Marvelman]

Since the tokenisation of fingerprints are mentioned, would this be the actual finger of the person getting scanned or a picture of the fingerprint?

I think, both methods might be useful and eventually implemented, but we should do some research. We'd better use standards where it's possible to make it compatible with different pro scanning devices. I've seen a lot of open source implementations of fingerprint recognition algos. I would take a look at them first trying to figure it out, if there is something existing to implement.

Although it sounds cool, I don't believe it would be a viable solution. For example, when you touch something with bare hands, you leave your fingerprints behind. It wouldn't take long for someone to copy these fingerprints and tokenize them. I see no way to prevent this. Or am I missing something here?

[3DPass]

Since the tokenisation of fingerprints are mentioned, would this be the actual finger of the person getting scanned or a picture of the fingerprint?

I think, both methods might be useful and eventually implemented, but we should do some research. We'd better use standards where it's possible to make it compatible with different pro scanning devices. I've seen a lot of open source implementations of fingerprint recognition algos. I would take a look at them first trying to figure it out, if there is something existing to implement.

Although it sounds cool, I don't believe it would be a viable solution. For example, when you touch something with bare hands, you leave your fingerprints behind. It wouldn't take long for someone to copy these fingerprints and tokenize them. I see no way to prevent this. Or am I missing something here?

The problem you described touches any biometric data. Iris scan, for example, might be easily taken from photo, etc. 3DPass multi-object feature is the solution working as multi factor authentication: https://3dpass.medium.com/multi-object-feature-5bbda131c62f

Let's say, the combination like "object 3D shape + owner’s fingerprint", leveraged as seed data, gives you both strength and privacy:

• You can not recover HASH ID, using only owner’s fingerprint. However, the fingerprint is "something that you are" factor, which is unique and it's hard to loose.
• You can not recover HASH ID, using just the object 3D shape, as well. The object shape is "something that you have" factor

So, you can add more factors and combine them whatever you want.

[chum_yum]

Translated into Russian: https://bitcointalk.org/index.php?topic=5383311.0

[ultiex]

did you have backer? or partner. It is difficult for a project to succeed without this, unless you have a large amount of capital.

[3DPass]

did you have backer? or partner. It is difficult for a project to succeed without this, unless you have a large amount of capital.

We didn't. It's been about two years since we started the project. And we've been using our own funds so far.
However, we're performing a lot of negotiations about private sale now. But we're interested only in partners who will create real cases around 3DPass. Otherwise, it's not worth this privilege of getting on board before the network starts. That's why we are so picky about it.

BW, 3DPass is designed as an open source community project, not private one. As team we will hold the share of 10.1% of total supply https://3dpass.org/distribution.html But the rest of it will be distributed among the community. And there are a lot of ways to get involved in:

• Contribution program: https://3dpass.org/distribution.html#contribution
• Mining: https://3dpass.org/distribution.html#mining_rewards
• Getting rewarded as a validator (NODE): https://3dpass.org/distribution.html#validation_fee

Please feel free to join Discord to discuss: https://discord.gg/u24WkXcwug

[Cee2]

What are your thoughts on scalability?

[3DPass]

What are your thoughts on scalability?

I see two problems related to.

The first one is the NODE capacity is limited for computing resources. For example, if someone submitted a high definition large 3D model, it would've taken a while for processing to finish by just one node. We need to speed up the processing by means of sharing calculations among every nodes available.

Second is the blockchain weight and block size. In order to reduce both of them we will leverage IPFS and will have left just a link to the object and its HASH ID in the block. There was an idea, as well, which might be applied just to the new blocks created by 3DP miners, to remove 3D models from IPFS after 500+ confirmations or so. However, it doesn't look applicable for the new blocks created by another users, as well as for smart-contracts and dApps data, cause they're definitely interested to store their assets and data.

Talking about new blocks produced by users, I meant this option, one of possible applications of which would be creation of public chains of limited supply assets/items for gaming: https://3dpass.org/proof_of_scan.html#public_chains_of_limited_assets

[chum_yum]

Is it foreseen to also be able to scan 2D files like a piece of paper or a simple jpeg?

I like this idea! I find it as the first candidate to add in extension.

[3DPass]

As we promised before, we've created the first business-case video explaining how to use 3DPass features to tokenize diamonds and precious stones. Video also explains why conventional NFT doesn't work.

Enjoy: https://youtu.be/Yxc-nJj7qeQ

Looking forward to your feedback.

[chum_yum]

Some development updates:

Our development team managed to make pass3d recognition tool compatible to Substrate, which allows now to build 3dPass Node that able to:

• recognize 3D object shape (create Hash ID and validate)
• store the objects and its hashes in IPFS

New compatible tool for wasm: https://github.com/3Dpass/p3d

After some tests we're starting to implement the network consensus rules and launch testnet.

I'm just trying to build the Node now, cloning from here: https://github.com/3Dpass/3DP

I'm using this command to build:

Code:

cargo run --release -- --dev

I've got this:

Code:

error: failed to get  frame-benchmarking as a dependency of package node-template v4.0.0-dev

Fixed.
Try again and make sure that you have configured Rust properly: https://github.com/3Dpass/3DP/blob/dev/docs/rust-setup.md

The project depends on Rust nightly, so follow the instructions above.

Then:

Code:

cargo run --release -- --dev --tmp

Thanks. It helps!
I finally managed to to build the NODE. Looking forward to testnet launch.

[3DPass]

Instagram launched: https://instagram.com/3dpass_org

[3DPass]

Things recognition algorithms to be implemented

Thanks for the community, partners and everyone follows and supports 3DPass, that we have realized our approach might  be applicable for tokenization of various things in addition to just 3D objects, such as:

• 2D drawings
• fingerprints
• face
• melody
• voice
• radio signal, etc. Everything recognizable by means of machine processing

In order to make it, we have asked our friends-scientists working for research universities to collaborate. Feel free to contribute and dive into our rewards program: https://3dpass.org/distribution.html#contribution

We have specified general conditions for algorithms-candidates on this web page: https://3dpass.org/proof_of_scan.html#recognition_algorithms

[chum_yum]

When the testnet starts? What should I do to prepare?

[3DPass]

When the testnet starts? What should I do to prepare?

I believe, we'll release the NODE containing Proof of Scan consensus implemented in 7-10 days. Then we'll publish some guide lines.