Introduction. Everyone knows that the most famous coin in the world is Bitcoin. Satoshi Nakamoto is the founder of Bitcoin. there are so many popular networks working recently. many to come. bep20, erc20, polygon, Solana, Tron networks are some of them. The auto-staking protocol is a very powerful protocol that allows people to stake their tokens more easily and quickly. The auto-staking platform uses a mechanism where users don't have to bother to stake their tokens. Later users will be able to stake their tokens without the need to manually stake, the system will automatically reward users for the tokens they hold. The more tokens a user has, the bigger the reward they will get. And all of that will be able to be monitored by users directly on their growth in their digital wallet. This is why staking platforms with auto-staking protocols are a favorite of today's users as they don't have to bother with their token stakes and just need to last ...
Dapatkan link
Facebook
X
Pinterest
Email
Aplikasi Lainnya
Biometrids - An online ID platform on blockchain that uses machine learning for a safe face recognition and protects all your accounts from theft threat.
Some face recognition algorithms identify facial features by extracting landmarks, or features, from subject faces images. For example, the algorithm can analyze the relative position, size, and / or shape of eyes, nose, cheekbones, and jaw. This feature is then used to search for other images with matching features. Another algorithm normalizes the facial image gallery and then compresses the face data, storing only data in the image useful for face recognition. The probe image is then compared to face data. One of the earliest successful systems was based on a template matching technique applied to a series of prominent facial features, providing a sort of compressed face representation.
The recognition algorithm can be divided into two main, geometric, feature-distinguishing, or photometric approaches, which are statistical approaches that filter images into values and compare values with templates to eliminate variance.
Popular recognition algorithms include major component analysis using eigenfaces, linear discriminant analysis, elastic group graphs that match Fisherface's algorithm, hidden Markov model, multilinear subspace learning using tensor representation, and dynamic dynamic link matching with neuronal.
3 dimensional recognition
The three-dimensional face recognition technique uses 3D sensors to capture information about face shape. This information is then used to identify facial features, such as contours of eye sockets, nose, and chin.
One of the hallmarks of 3D face recognition is unaffected by lighting changes like other techniques. It can also identify faces from different angles, including profile views. The three-dimensional data point of the face greatly improves the accuracy of facial recognition. 3D research is enhanced by the development of advanced sensors that do a better job of capturing 3D face images. The sensor works by projecting a structured light to the face. Up to a dozen or more of these image sensors can be placed on the same CMOS chip - each sensor captures different parts of the spectrum ....
Even the perfect 3D matching technique can be sensitive to expression. For that purpose, a group in Technion's applied tool of metric geometry to treat expressions such as isometry
The new method is to introduce a way to capture 3D images using three tracking cameras that point at different angles; one camera will point to the front of the subject, the second to the side, and the third in a corner. All these cameras will work together so they can track the subject's face in real time and be able to face detection and identification.
Analysis of skin texture
Other trends emerge using visual details of the skin, such as those captured in a digital image or a standard scan. This technique, called skin texture analysis, alters the unique lines, patterns, and spots seen in a person's skin into a mathematical space.
Tests have shown that with the addition of skin texture analysis, the performance in recognizing faces can increase by 20 to 25 percent.
Thermal camera
Another form of input data input for face recognition is by using a thermal camera, with this procedure the camera will only detect the shape of the head and will ignore subject accessories such as glasses, hats, or makeup. The problem with using thermal images for face recognition is that the database for face recognition is limited. Diego Socolinsky, and Andrea Selinger (2004) examine the use of thermal face recognition in real life, and the scenery of operations, and at the same time build a new database of thermal facial images. This study uses sensitive low-ferro-electric electric sensors capable of obtaining long-wave thermal infrared (LWIR). The results show that LWIR fusion and regular visual cameras have greater results in outdoor probes. Indoor results show that the visual has an accuracy of 97.05% while LWIR has 93.93%, and Fusion has 98.40%, but on the visual outdoor view has 67.06%, LWIR 83.03%, and fusion has 89, 02%. The study used 240 subjects over a 10-week period to create a new database. Data collected on a clear, rainy, and cloudy day.
Biometrids Platform is an online ID on blockchain that uses machine learning for face recognition. With face recognition, it is possible to verify the people they care about. Biometrids solve one of the biggest problems facing today in the ecosystem of blockchain and life. Biometrids are decentralized IDs that use blockchain to identify people. The use of blockchain assures everyone is anonymous, but still applies to each other's transactions. By using APIs related to the Biometrids platform, any service can implement our ID protocols into their systems, and force people to use Biometrids IDs to increase the security of knowing customers are transacting with the original.
With the Biometrids platform, it is possible to achieve the following:
Make sure those people are who they are.
Dealing with fraudsters and preventing identity fraud.
The opportunity to identify themselves, even in countries where it is not possible today.
Give people ownership of their own ID.
Help blockchain services that face identity problems.
Make your payment more secure and reliable.
Remove intermediaries for identification.
With Biometrids, his identity will be anonymous but still reliable. This system will give ID to identify them. There are many countries where this is a big problem. The Biometrids platform will solve identity problems and help prevent identity cheating, all of this by using face recognition.
Our APIs allow others to integrate the system. This will make it easier for people to get into their wallets. With our innate voting system, people can report others as scammers. If someone creates a fraudulent account using an ID, their ID will be marked as a scammer, which will prevent others from having to deal with this person. When this system is established worldwide, more and more companies and people will adopt this system. This means spammers can be forgiven by using some fraud marks. This will create further incentives to follow the system, as a new identity of uniqueness in the faces of each person.
How it works.
Biometrids use a very smart facial recognition technology almost like articological intelligence. Although your face changes like there is a stain on your face or your hair is changed and injured, but the contours of your face will remain the same. For example if a company or provider needs to identify your face then they can send a request to your biometrids wallet. The next request will appear on your screen and you can simply scan your face. We are building a platform that other blockchain projects can implement. This could be a wallet, a bank, a company, a rental car, a real estate partner, and more. If wallet developers want to use this system, they just apply the API; After that,
We got a solution to address the Identity problem on blockchain. Today we face a common blockchain problem, with its identity. KYC, that they were forced by the government. Therefore we need a decentralized identity, which can help solve this problem.
Facial recognition works around a person's image. This image can be 2D or 3D. If we use 2D images, the possibility of manipulation will increase a person's strength, scan by phone, then log in to the user's account. By using 3D images, we will increase the complexity significantly. If you need to have ears, eyes, and chin, from an angle, it will be much more complicated to manipulate. If we also add skin scans, and maybe even iris scan, its complexity and uniqueness will be at a much more satisfactory level and your face scan will be unique.
We will combine facial recognition with keywords, providing a complete and highly secure system where each face is unique and fully recognizable to this system.
British identity fraud
Investors will have the opportunity to get a part of Platform Biometrids. Investors can run their own nodes on the chain, with only 10,000IDS .
100,000,000 transactions every day at a cost of 10-40cents and pay off 90% for the investor holding the knot.
In PRE - ICO we offer 1330IDS for the price of 1 ether and ICO at a price range of 600-1000IDS for 1 ether.
Help us build a future of identification and join our trip today!
Token Sale
The token biometrids will be known and called IDS.
There will be a total of 100,000,000 available and will be offered as follows:
Pre-ICO: 5%
Bounties and Advisors: 5%
Crowdsale: 70%
Team allocation: 10%
Foundation: 10%
IDS Pre-ICO will run for a week in 1ETH / 1330IDS, while crowdsale will last for 4 weeks with the following prices:
Week 1: 1000 IDS / 1eth
Week 2: 850 IDS / 1eth
Week 3: 700 IDS / 1eth
Week 4: 600 IDS / 1eth
Pre-Ico and crowdsale will run until the end date, or until all the coins are sold.
The sum of 10% of the allocated team and 10% for the foundation will be locked down for three years.
Any unsold coins during ICO will be locked for five years. After five years, they will be resold to the initial investor in a personal fundraising campaign. They will not be sold on the exchange.
APIs and Systems
The Biometrids platform is expected to benefit other Blockchain and Cryptocurrency projects.
In addition, the financial sector, the post, the wallet, and the public sector will also benefit from the Biometrids project. Wallet developers must integrate the Biometrids API with the login and process. This will be translated into facial recognition login to wallet.
Roadmap
Start an idea
Q1 and Q2. January - to June - discussions and market studies.
Q3 Development of concept. Find solutions to build systems.
Q4 PRE-ICO and ICO
- PRA-ICO 25 November to 1 December
- ICO January 29 to February 26.
Q1. Preparing the foundation and recruitment process. Start developing phase 1.
Q2. Adopted for exchange.
Q3. The beta version of stage 1. Testing with the community. Designing model and architectural design for phase 2 - Communities meet, where we discuss ideas, current plans, future plans, and what happened since the end of ICO
Q2. Beta version of stage 2. Testing with the community.
Q3. Create model and architecture design for stage 3
Q4. Release stage 2 and start developing stage 3. Community meet
Q1-Q2. Beta version of stage 3. Testing with the community. Create a design model and architecture for stage 4.
Q3. Product assembly and full test. Join the new service to use our API.
Q4. Stage 3 release. And start on the stage 4.Komunitas meet
2021 and Next Year
Q1.Stage 4 development, and final release of the Biometrids platform.
Q3. The last release of the Biometrids platform, so all partners can use it.
Q4. Community meet
Branding and continuous awareness of Biometrids to develop business processes for businesspeople. Further product development with bug fixes, new initiatives, and a better user experience.
Stage 1
This stage will start if we reach softcap 4000 Ether. At this stage, we will start building platforms for platforms. It involves recognizing faces that work, and allowing people to start creating their decentralized IDs. Keyword protection will be required at this stage. There will be no API integration, just the work system.
Phase 2
Initial API integration will be developed. We will build the API and let other platforms adopt our system into their system.
Stage 3
During this stage, we will develop a platform for using nodes. This knot will be used to identify people in the chain. The knot will draw interest in its contribution to the chain
Stage 4
API integration will be further developed. We will fix the API to further adopt this system.
Stage 5 and Next Stage
The next stage will delete the password, so everyone needs to access their account is their face. Investments will be made so that the government can adopt our system and integrate it into our local services into our solutions.
Team
Morten Nielsen - CEO and daily leader.
Morten is a crypto fan with deep insight into blockchain technology. He loves new technology and use cases, and is an entrepreneur who has built and sold online stores. And he has a great experience in sales, technology, and leadership. Morten is a problem solver, studying economics in his spare time.
Daniel Broe - Business Development and Partnership
Daniel leads business development. He is passionate about blockchain and business development and is an entrepreneur. And currently he works as a Senior IT and Finance Consultant. Daniel was previously one of the founders of Norway's subsidiary sports analysis and Head of Department in Denmark.
Jolene Sapsworth - Marketing Manager
Jolene leads the marketing department She has worked with marketing and communications at a major company in Denmark. He has a PBA in International Marketing and Communication and Marketing Management Education. .
Kirill Beresnev - Developer Etiquette
Kirill is a leading etereum developer and blockbain engineer enthusiastic with great experiences in development of Ethereal and Blockchain and Kirill has previously worked with Smartum Pro and Hyerledger Fabric.
Jana Antonova - Graphic Designer
Jana is an experienced graphic designer and photographer, managing and coordinating graphic design projects from concept to completion.
Jana is good at designing, simultaneously building, motivating, and directing design and production effectively.
Cyril Ganchev - Algorithm and full stack developer
Cilil leads the Algorithm. Ki ril Ganchev has more than eight years of experience in image processing, computer vision algorithms, embedded systems, and peripheral devices. He has worked for years for the project Nokia and Microsoft, which have become a team of skilled professionals Kiril studied Physics at Sofia University " St . Kliment Ohridski "and Participate in informatics, mathematics, physics, and astronomy contests
Igor Novakovic - Developers of ethereum and web
Igor is a Developer of Experienced Web Address and Ethereal Developers. Very enthusiastic with new technology.
Having a Bachelor's degree in Business Information Systems. Graduated "Agile Software Development - SCRUM methodology".
Counselor
Financial advisor
Michael has worked with audits and taxes, as well as specialized consultancy, for companies and individuals since 2009. This includes business development for business process optimization and strategic plans.
Michael has a Master of Science (MSc) in Business Economics and Auditing and PBA in International Marketing and Communication, and is also educated in Marketing Management.
Technical Advisors and Products
Sabina is the director and founder of CIP Consulting Group. Advisory board member at Shape Robotics and former CEO of CP Robotics, Sabina has a Master of Arts in International Business Communication and Strategic Entrepreneurship.
Komentar
Posting Komentar