Faceter
Faceter
Token: FACE


Know the people around you

ICO dates
Start date: 2018-02-15
End date: 2018-03-30

Registrated in: South Africa

Platform: Ethereum
Type: ERC20

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https://faceter.io Screenshot
Faceter categories
Artificial Intelligence Big Data Internet
Faceter whitepaper
Video
Faceter token sale
KYC passing required Yes | Whitelist Yes | Restriction for countries No
Soft cap 5,000,000 USD
Hard cap 40,000,000 USD
Tokens for sale 408,000,000
Token distribution in ICO
40,8%
40,8%
Price 1000 FACE = 0.0872 ETH
Acceppting ETH, BTC, LTC, XRP, DASH, XEM, XMR, BCH
Bonus in ICO

Presale: 50%, 40%, 30%, 20% according to the Whitelist position

Token Sale: 20%, 0%

Faceter news, social
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Random whitepaper excerpts

Table of contents
1.
Executive summary
03
2.
Faceter’s background
05
3.
Market
09
3.1
Overview and trends in the video surveillance market
10
3.2
Competitive environment analysis
15
4. Current problems in the field of video
17
surveillance
5.
Faceter’s solution
19
5.1
System description
20
5.2
Competitive advantages
21
5.3
Application areas
23
5.4
Future development
24
6. Faceter technologies
26
6.1
Data processing
27
6.2
Faceter decentralized network
28
6.3 Personal data protection
29
6.4 Faceter token use model
30
7.
Business model
33
8. Roadmap
35
9.
Token Sale
37
9.1
Token distribution
38
9.2
Buy-out program
39
9.3
Scenarios for the use of raised funds ...

1.
Executive summary
Video surveillance systems are currently the most efficient technical tool to ensure
public safety by the means of recording facts and controlling the situation at any site.
The global increase in crime, terrorist attacks and, most especially, public concern
about safety are the factors that promote the development of the global video
surveillance market. According to Markets&Markets, the industry’s turnover reached
$30.37 billion in 2016. The growth rate is seemingly unabated, as the industry is
expected to reach
$75.64 billion in turnover by 2022.
The volume of the video surveillance market
Source: Markets&Markets
2016
$30.37 Bn
CAGR 16.43%
2022
$75.64 Bn
The problem is something similar – most video surveillance systems are of little
use, and therefore inherently inefficient, since it is only possible to record data via
videos, and store video archives. They are therefore backward-looking and dumb in
that t...

2.
Faceter’s background
One of the project’s founders – Robert Pothier – came up with an idea of c​​ reating
Faceter after realizing that video surveillance systems, which are supposed to
ensure security, do not actually work. At the same time, current crime rates in South
Africa, where Robert lives, create a strong demand for security systems from large
companies, individuals and small businesses. Large enterprises can afford to buy
and maintain expensive modern video surveillance systems powered by intelligent
software, whereas individual users and small businesses are deprived of this
opportunity.
Robert envisaged great potential that would come from creating a smart video
surveillance product at an affordable price which anyone could use. Thus, the idea
of F​​ aceter was born. The product was based on the experience acquired by Robert
and his development team in their previous project: Pay.Cards. It is an open library
for the recognition of information from bank ca...

2.
Faceter’s background
Faceter’s Milestones
2014
Vladimir Chernitsky joined the team that was working to create a solution for scanning
bank cards using computer vision. By that time, he had already been engaged in
research and development in the field of computer vision and artificial intelligence
(deep learning) for one year. The team tested all marketable products available on
the market and found out that none of the open source libraries available at the
time made it possible to create a simple and efficient bank card scanner. Under the
supervision of the new CTO, the team developed a plan to create its own product.
2015 (Q1-Q2)
The team launches its first successful product in the field
of computer vision:
Pay.Cards.
An open source library
for iOS and Android platforms allows users to embed a
bank card scanner into mobile applications. The scanner
is capable of recognizing not only the card number,
but also the validity period and the ca...

2.
Faceter’s background
2017
Scanface project has been renamed to Faceter.
The team develops a plan to create
a cloud service on the basis of available technologies which would be affordable for
regular users and small business. To achieve this purpose, the company plans to use
decentralized distributed computing technologies (fog computing), which allows for
a significant reduction in infrastructure and product costs.
The team decides to run a crowdfunding campaign to attract investments in order to
create a Faceter version for mass consumers.
The Faceter project team is driven by its experience of working together on related
projects and the belief that technologies for organizing public and personal security
using video surveillance will become more intelligent by 2030. Video stream
processed by computer vision will cover up to 70% of public spaces in developed
countries and up to 50% in developing countries, which will help reduce crime rates
and facilitate crime ...

3.
Market
3.1
Overview and trends in the video surveillance
market
CCTV (Closed Circuit Television) is currently the most effective technical security
tool that allows its users to quickly record any actions. Thanks to the development
of computer vision technologies, the capabilities of such systems have significantly
expanded.
Over the last five years, the surveillance market volume (hardware, software and
services) has demonstrated an annual growth of 15.4% and, according to Markets
& Markets,
is projected to reach $75 billion by 2022
. High crime growth rates, an
increase in the number of terrorist attacks, and people’s concern over security are the
main factors stimulating the development of the video surveillance market around the
world.
Size of the global video surveillance
52.6
market from 2009 to 2019, by region
5
(in billion U.S. dollars)
42.6
Source: Statista, 2017
4.2
5.1
34.2
...

3.
Market
The global Smart cities market
Source: Research and Markets, July, 2017
2016
$773.19 Bn
CAGR 19.08%
2025
$3651.49 Bn
In smart cities, CCTV is used to record violations of traffic rules, to control the
operation of municipal services, to restrict access to closed areas, as well as in
parking and toll payment systems on high-speed roads.
In 2016, in developed countries, there were about 200 CCTV cameras per 1,000
residents of large cities.
Video surveillance systems for small businesses and individual
users
The number of cameras installed in private homes, shops, restaurants, gas stations,
and offices is growing every year and so is the demand for more advanced
solutions. However, modern software for 'smart' video surveillance is currently not
available to individuals and small businesses because of high costs and a lack of
development focused on this particular target audience.
According to the
forecast of Market Resear...

3.
Market
IP video surveillance and VSaaS market forecast
Source: Allied Market Research
2016
$21.8 Bn
CAGR 18.8%
2022
$61.3 Bn
IP-based video surveillance technologies have revolutionized the industry offering
a higher level of flexibility and scalability compared to older-generation video
surveillance systems. IP cameras allow their users to use innovative technologies for
video stream analysis. According to experts from leading international companies,
such as
Accenture, IHS Markit,
PwC (data-driven
city concept)
and some others, the
demand for intelligent video surveillance systems capable of analyzing video streams
in real-time mode has grown significantly in recent years and will continue to grow.
High demand for face recognition software
The latest developments in the field of machine vision caused video surveillance
systems to reach a new level. Technologies powered by neural networks and artificial
intelligenc...

Faceter Roadmap

1
2014
The Faceter project was launched in 2014.
2
2017
Alpha version of Faceter for B2B is released
Proof-Of-Concept of Faceter for mass-market (centralized version)
3
2018
Token SaleBuilding 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
4
2019
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
Igor Karavaev
Advisors Igor Karavaev Investor Relations

Ken Huang
Advisors Ken Huang Senior Academic Advisor

Wulf Kaal
Advisors Wulf Kaal Blockchain Expert

Robert Wayne Pothier
Team Robert Wayne Pothier Co-Founder, CEO

Vladimir Tchernitski
Team Vladimir Tchernitski Co-Founder, CTO

Leon Olckers
Team Leon Olckers Technical Deployments

Jayson Gouws
Team Jayson Gouws Solutions and distribution

Paul Scott
Team Paul Scott Business Development

Graham Perry
Team Graham Perry Sales and Distribution

Aleksandr Chernov
Team Aleksandr Chernov Tech Lead

Anton Ivashkevich
Team Anton Ivashkevich Design

Vitaliy Kuzmenko
Team Vitaliy Kuzmenko Mobile Development

Igor Karavaev
Igor Karavaev
Investor Relations
ICO ADVISOR
Business development Advisor
Advisor
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Advisor. Investor Relations
Business development
BLOCKCHAIN ADVISER
ICO Advisor
Ken Huang
Ken Huang
Senior Academic Advisor
Chief Blockchain Scientist, VP at Huawei Technologies
Blockchain Security speaker
Ken HUANG
Ken HUANG
President, Identity Verification & Blockchain
Paul Scott
Paul Scott
Business Development
Vice president, business development, Africa
Wulf Kaal
Wulf Kaal
Blockchain Expert
Token Model Advisor
Advisor (Blockchain Tech), HighTechBlock
Entrepreneur, Technologist, Professor
Blockchain advisor
?rypto economics, blockchain innovation and law expert. Advisor to several EU and US crypto companies. Ex-Goldman Sachs, Cravath.
Advisor. PR and Social Outreach
Blockchain Expert
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