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Techprom presentation 1 6-18-10

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AI driver assistant. ADAS for any weather conditions using cameras only.

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Techprom presentation 1 6-18-10

  1. 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. 2. CAUSES OF ACCIDENTS * Causes of accidents Другое Невнимательность 20% OTHER FACTORS 80% DRIVER INATTENTION* 2
  3. 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. 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. 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. 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. 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. 8. SOLUTION 8 Test showed result 93.4 speed limit detection The sign "No Entry"detection
  9. 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. 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. 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. 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. 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. 14. CONTACTS TECHPROM • Email: techprom70@gmail.com • Web site: techprom.a01.ca • Skype: zoospec • Tel: +19168776690

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