Topic: 3DPass: 3D objects tokenization decentralized platform | New Proof of Scan algo - page 10. (Read 5338 times)
April 05, 2022, 06:51:28 PM
Are there any plans to release something on iOS?
April 02, 2022, 04:48:19 PM
Enjoy some 3DPass features before the network starts!
You can use real world 3D objects as cryptocurrency wallets, passwords or keys:
https://youtu.be/YAl2R_DefQE
1. Use your smartphone camera or any pro scanner to take several 3D models of the same object. E.x. https://www.qlone.pro/ might be used for experiments
2. Export your 3D scans in .obj format
3. Use pass3d recognition tool for Linux or Android app to create a HASH ID out of your .obj scans. You should select the most sustainable hash which definitely comes up in each top10 processing result. You have to use the same set of parameters each time. It's recommended to set up the grid parameter (-g) value according to the lowest scan definition we expect to process in the future. Such values as -g=6 or -g=7 (6x6 and 7x7 grid) would be recommended for smartphones and tablets.
- pass3D for linux: https://github.com/3Dpass/pass3d/releases
- Android app https://github.com/3Dpass/threedpass/releases
- pass3d user guide lines: https://3dpass.org/pass3d.html
4. Apply your HASH ID as a seed for any cryptocurrency wallet to recover.
HASH ID strength: https://3dpass.org/grid2d.html#hash_id
You can use real world 3D objects as cryptocurrency wallets, passwords or keys:
https://youtu.be/YAl2R_DefQE
1. Use your smartphone camera or any pro scanner to take several 3D models of the same object. E.x. https://www.qlone.pro/ might be used for experiments
2. Export your 3D scans in .obj format
3. Use pass3d recognition tool for Linux or Android app to create a HASH ID out of your .obj scans. You should select the most sustainable hash which definitely comes up in each top10 processing result. You have to use the same set of parameters each time. It's recommended to set up the grid parameter (-g) value according to the lowest scan definition we expect to process in the future. Such values as -g=6 or -g=7 (6x6 and 7x7 grid) would be recommended for smartphones and tablets.
- pass3D for linux: https://github.com/3Dpass/pass3d/releases
- Android app https://github.com/3Dpass/threedpass/releases
- pass3d user guide lines: https://3dpass.org/pass3d.html
4. Apply your HASH ID as a seed for any cryptocurrency wallet to recover.
HASH ID strength: https://3dpass.org/grid2d.html#hash_id
March 30, 2022, 03:56:22 AM
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.
Hey, guys! Yesterday we gathered with our development team and decided that we need a couple of weeks more to the testnet launch. We are not ready yet, but we will put our efforts to start by April 15
There are some issues unaccomplished with consensus Proof of Scan yet, because we tried to modify BABE production mechanism first. However, we had to replace it with Aura one. BABE causes a lot of forks, even if the network feels well. So it took us some extra time to test it out.
March 21, 2022, 07:11:20 AM
Enjoy watching our new use-case video describing some opportunities of 3DPass being used for tokenizaton of items for Gaming, Virtual Reality, Metaverse. As a bonus, we'll share how to utilize Proof of Scan for running your own chains of limited supply assets.
https://youtu.be/O6c3ZOB0Glg
Feel free to suggest new use cases.
https://youtu.be/O6c3ZOB0Glg
Feel free to suggest new use cases.
March 21, 2022, 07:04:43 AM
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.
March 19, 2022, 01:00:43 PM
When the testnet starts? What should I do to prepare?
March 16, 2022, 05:04:09 AM
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:
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
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
March 16, 2022, 04:17:44 AM
March 14, 2022, 09:45:07 AM
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:
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.
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.
March 12, 2022, 04:35:30 AM
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.
Enjoy: https://youtu.be/Yxc-nJj7qeQ
Looking forward to your feedback.
March 10, 2022, 03:42:25 AM
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.
March 09, 2022, 02:52:05 PM
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
March 09, 2022, 12:33:16 PM
What are your thoughts on scalability?
March 09, 2022, 07:48:22 AM
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
March 08, 2022, 09:56:46 PM
did you have backer? or partner. It is difficult for a project to succeed without this, unless you have a large amount of capital.
March 08, 2022, 05:06:39 PM
Translated into Russian: https://bitcointalksearch.org/topic/3dpass-3d-5383311
March 07, 2022, 01:42:46 AM
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.
March 06, 2022, 04:57:49 PM
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?
March 06, 2022, 12:58:58 PM
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.
March 06, 2022, 09:33:29 AM
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?
Since the tokenisation of fingerprints are mentioned, would this be the actual finger of the person getting scanned or a picture of the fingerprint?
Jump to: