We have invented artificial intelligence technology that can drive a car under difficult conditions like night, fog, and heavy rain. This technology, called a Personal Driver Assistant (ADAS), can help reduce accidents caused by driver inattention by providing early warnings. Our technology was tested and achieved a 96.6% success rate in difficult conditions, which existing ADAS systems cannot do. We have filed a patent and plan to commercialize our technology by licensing it to automakers and governments and partnering with insurance companies. Our team has experience developing AI and commercializing technology.

1. TECHPROM
We invented the technology of artificial intelligence
that exceeds the possibilities of man. We applied it for
the technical vision of the car when driving under
conditions of night, fog and heavy precipitation.
PERSONAL DRIVER ASSISTANT
(ADAS)

2. CAUSES OF ACCIDENTS
* Causes of accidents
Другое Невнимательность
20%
OTHER
FACTORS
80%
DRIVER INATTENTION*
2

3. CAUSES OF DRIVER INATTANTION
Histogram of accidents
distribution depending on
the driver distraction.
The main contribution
(55%) comes from
distraction by distraction
and secondary tasks
associated with vehicle
control.
See Forward Collision Accidents research AXA 3

4. ECONOMIC LOSSES FROM ROAD ACCIDENTS
Road crashes
cost global USD
$518 billion *
Road crashes cost
the U.S. $230.6
billion per year*
*Association for Safe International Road Travel
4

5. TIME FACTOR
Другие причины затрат Затраты от невнимательности водителя
90% COST SAVINGS
WITH 1.5 SEC
PROACTIVE NOTICE
OF DRIVER *
10%
OTHER
CAUSES
OF COSTS
5
*Forward Collision Accidents research AXA

6. ЕU:
• EuroNCAP (The European New Car Assessment Programme) takes into account the
availability of ADAS (Advanced Driver Assistance Systems) for assigning vehicles safety
rating (5-star system).
GERMANY:
the government provides subsidies for fleet deploying ADAS.
USA:
Bill of fleets in the United States provides tax incentives fleets equipped with ADAS.
NHTSA (National Highway Traffic Safety Administration) Takes into account the ADAS
technology to assess vehicle safety rating.
JAPAN:
The state provides subsidies to 150,000 yen on the ADAS purchase.
SINGAPORE:
Insurance companies offer a 10% discount on the insurance policy for the vehicle equipped
with ADAS system.
DEMAND / MARKET
6

7. ADAS MARKET DYNAMICS
• Currently the world's 3.3 million installed devices come from Mobileye.
• The company held an IPO Mobileye August 1, 2014 Capitalization - 850
million US dollars.
• In the first quarter of 2016 according to the NASDAQ the company
reached capitalization
8 billion US dollars. *
• In 2017 company was acquired by Intel for 15 billion US dollars.
This result was achieved by company which software has limited
capability(no vision in fog, heavy precipitation)
7
* http://www.nasdaq.com/symbol/mbly

8. SOLUTION
8
Test showed result 93.4
speed limit detection The sign "No
Entry"detection

9. TECHNOLOGY AND COPY RIGHTS
•The algorithm acts like Alfa go Zero learning situation
from scratch and building real world model.
•We filed a patent application.
• All rights will belong to our company.
•We propose to join forces for the emergence of a
global artificial intelligence for human needs

10. WHAT WILL BE CREATED AS A RESULT OF
THIS STAGE:
- Completion of the prototype with the results obtained by
testing the algorithm for night or fog conditions with the level
of success of 96.6%. Such function is currently absent in ADAS
systems of competitors.
- Research works, confirming the characteristics of the
software algorithm of personal automobile assistant.
10

11. BUSINESS MODEL
We had carried out an extensive consultations with T1 level
car manufacturers and now we know how to do this
business:
• SALE OF LICENSES B2B and B2G
• SALE OF TECHNOLOGY
• PARTNERSHIP WITH INSURANCE COMPANIES
This business is for those who understands global
primary trends and we are ready to do it together.
11

12. TEAM
• Yuri Novikov – Lead Software Developer
• Key competencies: The manager with international experience in IT research and
development. Developed and tested a number of Big Data projects. 10+ years of
experience in the software development.
• Aleksandr Kurianovich – CEO
• Management, finance, marketing, production, sales. Key experience relevant to the
field of this Project: Conclusion of contracts for the commercialization of IT
developments as a managing director. Coordination of the activities of team members.

13. TEAM
• Oleg Novikov – CTO, Software Architect
• Key competencies: The manager with international experience in IT research and
development. Developed and tested the information classifier. Engineer - physicist and
Java programmer, 10+ years of experience in the creation of classification algorithms.
Concludes agreements for commercialization of IT development as a technical director.
Has 6 patents and 1 patent pending.

14. CONTACTS
TECHPROM
• Email: videotomsk@gmail.com
• Skype: zoospec
• Tel: +19168776690