Become investor of Faceter
Computer vision technology for video surveillance, powered by fog networking

Presale starts in:

$1 200 000


Seed investments

$800 000

1 February 2018


10 March 2018

Token Sale

$40 000 000

30 April 2018

Token supply

1 000 000 000 FCT


Seed investments

Sold 120 000 000 FCT

$1 200 000


+50% FCT

1 February 2018


8 000 000 FCT

+50% FCT
1 February

10 March 2018

Token Sale

400 000 000 FCT

30 April 2018

Token supply

1 000 000 000 FCT

+40% FCT
10 March
+30% FCT
11 March
+20% FCT
17 April
+0% FCT
24 April

What is Faceter?

Neural network based

Faceter makes video surveillance smart by giving “eyes” to cameras. Real time computer vision, facial recognition, object detection, and video content analysis has never been simpler. Soon these disparate visual technologies will merge into one, “understanding” the situation in front of them and reacting appropriately to it. We call this “comprehensive intelligent surveillance,” the concept of security based on event analysis. Decentralization will make this advanced security technology affordable for consumers.

Robert Wayne Pothier
Co-founder, CEO

Why Faceter?

For Customers

Faceter transforms ordinary cameras into advanced security systems that “understand” what’s going on with fast, accurate, and efficient facial detection and recognition. It enables a new level of service for your security needs.

For Miners

Cryptocurrency miners can rent their equipment to Faceter and make more money than they would by mining. They’ll make money 2.5 times more quickly than mining Ethereum, and 5 times more quickly than mining Monero. Faceter will use a decentralized infrastructure to reduce computing costs.

For Holders

The product is ready for B2B customers and has been tested in three successful proofs of concept. The team has clear plan for development the mass market version. Given the project’s roadmap for the next three years, the FCT token value may grow several times.

Market Overview

Size of the global video surveillance market from 2009 to 2019, by region (in billion $)
  • EMEA
  • APAC ex-China
  • China
  • South America
  • North America
$42 600 000 000

Size of the global video surveillance market in 2017


Growth every year

245 000 000

Video surveillance cameras installed globally

Faceter Platform

Video stream analysis requires immense computing power. We are planning to build a decentralized network that implements fog computing, drastically reducing the price of our product to make it affordable for homeowners and business owners around the world.

faceter platform

Faceter Token

The token is the core of the decentralized network, both as a Proof of Recognition and a flexible, transparent, cross-border settlement mechanism for all participants. It is the cryptocoin for payments we get from customers. Work of participants in our decentralized network is paid by tokens as well. FCT is the integral part of the business model and a great investment asset. The financial model is built to strengthen factors that support growth of the token value.

faceter token

Token details

Blockchain:Ethereum, ERC20
Token Ticker:FCT
Initial Price:$0.1 in ETH
Token delivery date:1 week after closing token sale
All tokens that will not be sold through the token sale will be burned

Token distribution

Total token supply1 000 000 000 FCT

Free sale:408 000 000 FCT (40.8%)
The reserve pool to ensure the operation of the system since its launch to buyback:308 000 000 FCT (30.8%)
Team bonus (with sale restrictions for 2 years):150 000 000 FCT (15%)
Bounty program:5 000 000 FCT (0.5%)
Advisors remuneration:60 000 000 FCT (6.0%)
Bonuses at early stages:69 000 000 FCT (6.9%)

Intended Use of Proceeds

43%R&D and Hardware Solutions
31%Outreach, Partnerships and Integration
3%Legal Costs

Team & Advisors

Working hard to bring the awesomeness in Faceter ;)

Robert Wayne Pothier

Co-founder, CEO


Top manager with an impressive experience in large companies (Pinnacle Micro,, 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.

Vladimir Tchernitski

Co-founder, CTO

facebook linkedin

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.

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.

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 TVMS Company, has completed numerous security state level projects while exceeding expectations with high quality solutions and service delivery.

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.

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.

Graham Perry

Sales and Distribution


Top manager with an impressive experience in large companies (Pinnacle Micro,, 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.

Aleksandr Chernov

Tech lead

linkedin twitter

Expert in full-stack administration, as well as front-end and backend programming. Professional in product design and analytics. Worked as a team leader and a system analyst at, and others.

Anton Ivashkevich



Professional with 8 years of product design experience. Expertise areas are adaptive web and mobile interfaces, design, prototyping. Worked as a lead designer in projects with millions of users (Viber Wallet and more).

Vitaliy Kuzmenko

Mobile development

linkedin twitter

High qualified Mobile developer and UI expert with 5 years of experience. Worked on mobile solutions for,, and projects.



The Faceter project was launched in 2014.


Alpha version of Faceter for B2B is released

Proof-Of-Concept of Faceter for mass-market (centralized version)


Token Sale

Building modular architecture and adapting Faceter to fog computing networks to reduce computation costs

Developing Android, iOS, Apple TV applications

Developing a module for classifying individuals in videos to augment the event-based model with the following features: sex, age, race, emotions

New team members: growing IT department

Launching beta version of Faceter running on a fog and starting sales in the mass market segment

Adding a “user friendly” option: store video archives in decentralized IPFS-based storage providers


Developing integrated solutions in collaboration with hardware vendors

Tracking visitors with partially or completely hidden faces. Recognizing body type features: height, weight, build

New team members: sales and business development specialists

Vehicle detection and recognition in video, including recognition of numbers using cameras with sufficient resolution

Partnership agreements with video camera vendors regarding Faceter preinstallation

Developing a technology for detecting different events in the cameras’ scope: run, fall, fight, unattended items, hazardous situations (flame, smoke, vibration, non-standard noise etc.)

Launching a fully functional decentralized version of Faceter



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 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 instrument of payment 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.

What will push demand and price of your token after the token sale?

Our tokens are programmed so that the owner of it will get a part of every customer’s payment. Certain part of sum, which we will get from customer, will be distributed to all token owners. Another part will be burnt. And third part will be used to cover our costs and for payments to miners. As some of tokens are burnt, fewer are in the market and hence the value goes up. We cannot run out of tokens as the value for a license is purchased against the percentage of what a token is worth.

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 for banking cards data recognition, which became very popular among mobile application developers worldwide and was downloaded more than 25 000 times.

Read full Whitepaper or join official channels and ask there