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#Technology All projects

Faceter: Know the people around you

Сomputer vision surveillance technology

stage Ended crowdsale

4.4 Rating

by 9 users


    man Robert Pothier

    CEO, Co-founder

    Top manager with an impressive experience in large companies (Pinnacle Micro, Walletone.com, etc). He developed and implemented projects in the fields of e-wallets, gambling, KYC, as well as banking solutions in the United Kingdom, Spain, Italy and several African countries.

    man Vladimir Tchernitski

    Co-founder, CTO

    Professional with 20 years of experience in software development and 4 years in neural networks, computer vision and biometry algorithm development. Was a head of the R&D team of the outsourcing software developing company for several years.

    man Paul Scott

    Business Development

    Seasoned professional in financial markets and emerging-market technologies with deep-level FinTech, InsurTech and Big Data ecosystem knowledge, including utilisation of leading-edge technologies. The focus for the last 2-years has become the inherent benefits in Blockchain technology and the nascent opportunities this presents for a decentralised global economy.

    man Leon Olckers

    Technical Deployments

    CCTV security expert with over 10 years experience in the industry. Was involved in biometrics and ID management projects while offering video surveillance solutions, access control, electronic article surveillance, intrusion detection and customer behaviour analysis. Being a General Manger at Fullhouse Company, has completed numerous security state level projects while exceeding expectations with high quality solutions and service delivery.

    man Jayson Gouws

    Solutions and Distribution

    Specialist in security technologies with more than 20 years of experience. Vast experience in the sale of video surveillance systems and large-scale security projects at the regional and city levels.


    man Igor Karavaev

    Investor Relations

    Serial investor relations advisor of blockchain projects, top expert at icobench. Ex-executive Director at the Skolkovo Foundation, the leading Russian business incubator of hi-tech start-ups. Worked as a head of strategy, investments and business development of the largest international corporations.

    man Ken Huang

    Senior Academic Advisor

    Before joining Huawei in December 2015, Ken worked for CGI Federal office in USA for 18 years and served as its Director of Cyber Security and Director of Cloud Security. He established CGI Federal Identity Management Practice during his time at CGI. He has consulted to the United States Federal Government, numerous Financial Institutions and utility companies, providing expertise in Finance, Blockchain and Cyber Security.

    man Wulf Kaal

    Blockchain Expert

    Wulf Kaal is a leading expert at the intersection of law, business, and technology. His research focuses on innovation, technology, blockchain technology applications, smart contracts, initial coin offerings, hedge funds, and dynamic regulatory methods. Kaal is the director of the Private Investment Fund Institute (PIFI). Before entering the academy, he was associated with Cravath, Swain & Moore LLP, in New York, and Goldman Sachs in London, UK.

    Crowdsale details

    Distribution of tokens
    • Free sale (40.8%)
    • The reserve pool to ensure the operation of the system since its launch to buyback (30.8%)
    • Team bonus (with sale restrictions for 2 years) (15%)
    • Bounty program (0.5%)
    • Advisers remuneration (6%)
    • Bonuses at early stages (6.9%)
    Details Indicators
    Token Symbol FACE
    Full Token Name FACE Token
    Crowdsale Start February 15th, 00:00 GMT+03:00
    Crowdsale End Hard cap is reached or March 30th, 00:00 GMT+03:00
    Crowdsale Hard Cap Fixed, $28000000
    Crowdsale Soft Cap Yes, $10000000
    Domain registration date 2017-07-17
    Domain owner Registration Private, Domains By Proxy, LLC

    Cost of the token

    10000 tokens for 0.872 eth

    Price without discounts


    Bonus Dates Minimum purchase amount
    5% March 02 — 30, 2018 $10000.00000000

    Accepted currency

    • Bitcoin
    • Ethereum
    • Litecoin
    • Other

    Rate the project

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    Summary rate the project

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    Rate the project by other users

    Phil Zander April 06, 2018
    Rating of project


    Risks and disadvantages


    Xiuli Wang April 05, 2018
    Rating of project


    Risks and disadvantages


    Lisa Dominguez April 05, 2018
    Rating of project


    Risks and disadvantages


    Natsumi Iwata April 05, 2018
    Rating of project


    Risks and disadvantages


    Denys Serhiichuk March 26, 2018
    Rating of project


    According to global statistics and considering the inevitability of technological development, the technology behind video surveillance will certainly force users to move to clever, scalable and cheaper solutions.

    Risks and disadvantages

    The project, even in spite of the innovative idea with a unique approach to the video surveillance industry, has not yet considered the spread to the big public.
    Distribution of FACE tokens is very specific and although the platform can be decentralized, the company itself and its project are definitely centralized.


    Faceter may be the first to integrate blockchain-based solutions into the video surveillance market, but do not forget about traditional analogues, among which there are already key players

    Antony Smith March 25, 2018
    Rating of project


    In my opinion, this project is one of the most interesting ICOs on this website. The main concept is quite simple and it boggles the mind at the same time. In the long view, Faceter can greatly change our life, cause it will be safer. For instance, this technology could prevent all these mass murders in US public schools.

    Risks and disadvantages

    On the other hand, a moral question appears and in this case, I will agree with Jordan. What is more important, our safety or our private life? Cause from this point of view this system would become a serious threat to our anonymity and privacy.


    In general, the project looks promising and despite all these moral aspects, the team made a good job.

    Jordan Semanda March 24, 2018
    Rating of project


    Faceter is remarkably a good AI system, this is going to bring harmony back into the school systems, through creating conducive environments for the students and also less worry for the parents.
    With the implementation of this project we see a mass decrease in crime rate allover the world

    Risks and disadvantages

    In my view if the system is going to able to determine peoples moods and facial expressions then i think individual privacy is being breached, besides millions of people might be depressed but not harmful to society.


    This Artificial Intelligence system Faceter, should have been to the market earlier, all institutions and organisations should adopt this system already to counter attack any possible threats and for smooth operation.
    Since security is key this is the new face, the revolution of safety in relation with Artificial Intelligence.

    Andrew Robinson March 21, 2018
    Rating of project


    A good idea is to make video surveillance smarter, improve face recognition and all this in real time. It will be very useful to notify parents, for example, when a child leaves school. Also, when searching for a person it is convenient to use this function.

    Risks and disadvantages

    it is difficult to make a high quality educational base


    the project will be very useful in people's lives.

    Veronika Arbisman March 16, 2018
    Rating of project


    Affordable to mass consumer. Surely will make work of security services more easy and effective. Good way to find lost people, pets and things, as well as rise the level of public security.

    Risks and disadvantages

    Level of privacy will go to the minimal amount ever. 24/7 and probably most of the time even without knowing it being under observation. Good way to make obsessed people even more obsessed.


    In time when terrorist attacks and all type of social violence raised to enormous level that probably can be an efficient measure to fight it. But at the same time that will be a way to illuminate concept of privacy. Kind of dilemma.

    See more reviews


    Answers to Your Questions

    How do you use Blockchain in your product?

    We use blockchain in three different ways:

    for building a decentralized infrastructure (so called fog computing), which will meet the requirements of the facial recognition tasks;
    for receiving payments from customers and fix orders in smart-contracts, and transferring payment to miners (participants of our fog network, with them we will sign up smart-contracts as well);
    for issuing investment tokens on the Ethereum platform.
    We need a decentralized infrastructure because it will help us to provide a consumer version of our solution and make our product affordable for homeowners and small businesses globally. Facial recognition and computer vision technologies are very expensive because they consume a lot of computer resources. As I mentioned we have a working solution and we have interest of potential business users. But current classic infrastructure architecture can't be used for providing mass market solution – it is too costly. So, we will develop our solution to be able to pass the processing work over to existing miners in the blockchain industry. This decentralization will drastically reduce the price of the solution. Even if we offer Ethereum miners 5 times more than they are currently getting to mine cryptos, it will be still financially feasible for us. With PoS becoming more popular there is a growing concern for miners as they have the hardware but mining less as mining pools continue to get larger and more demanding.

    In the future, smart-contracts with customers can also become part of collective security network, integrated with police databases. So that police will be able to distribute pictures of wanted criminals, lost kids, stolen cars and so forth.

    Is Faceter token part of your business-model?

    Yes, it is a necessary part of our business model. It is the main cryptocoin for payments which we get from customers and which we send to participants of our decentralized network. If customer pays by fiat money, we convert them into Faceter tokens via ShapeShift-like exchange.

    Do you have a product already?

    We have market-ready product for business customers – they can buy it by classic software license and install it on-premise. The technology is tested in real life situations in three PoC projects: in casino, in Debonairs pizzerias (one of the most popular fastfood chain in South Africa) and in plant. All potential customers gave a good testimonials and are eager to sign-up agreements. The PoC project was realized with our partner – EPI-USE, exclusive representative and distributor of SAP in South Africa. We successfully integrated Faceter into SAP ERP business system. Faceter is also certificated by Axis (one of the biggest global video camera manufacturer), it means that software was tested in Axis cameras and showed high level of compatibility.

    Our computer vision algorithm for facial recognition shows 99,78% accuracy (top-6) according to LFW benchmark and 79.46% (top-10) by MegaFace.

    On the next stage of project development, we will build decentralized network. It will allow us drastically reduce cost on infrastructure and bring our computer vision technology for intellectual surveillance to the mass market.

    Does your team have required experience to accomplish roadmap goals?

    CTO and one of the founders of Faceter Vladimir Tchernitski has more than 25 years of experience in software development. Before Faceter he was the head of R&D-department of international outsource software development company, where he started to work with convolutional neural networks, more than 4 years ago. The current Faceter’s team, by guidance of Vladimir, has already developed a successful product – opensource library pay.cards for banking cards data recognition, which became very popular among mobile application developers worldwide and was downloaded more than 25 000 times.