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Peacock gen.1.1
1. It’s all about technology
PeacockTeam Ltd. is young team of talented
professionals with strong competances in
information technologies.
We produce truly innovative and cutting edge
services and products in data mining, sensor
analysis and user interface.
We are interested in new researches and
opened for cooperation.
4. More and more drivers use mobile maps
and GPS while in trip, those maps show
traffic info or roads under repair
None of those services provides road surface
condition info.
Background
5. Background
— In some countries, for example Russia, 60%of roads don’t
conform with norms
— Statistics says, one of ten road accidents, have rise in bad
roads
— In some cases the road services simply don’t know about new
pothole, or make believe they don’t know
Drivers should be informed about road surface
condition
11. What do road authorities use
Photo or lazer monitoring
Special high-cost auto laboratories.
Expert opinion
Specialists themselves perambulate the roads.
Mobile apps
Boston Road services were developing software for
mobile devices to recognize the potholes on the
road Google Russia tried to do that also
14. Monetization
Gaining the number of users and increasing project plough-
back
Providing data to road authorities, in Russia (Ministry of
Transport), or in Finland (destia.fi)
(to save money and completely cover road surface
monitoring )
Providing data to navigation systems
Using as an geo-targeted advertising space
15. Technologies
GPS
User positioning on the map
Locating potholes on the map
Accelerometer
Defining potholes and defects on the road
Maps (Google, Yandex, Open Street Maps)
Visualization of user position
Visualization of road surface condition
Web interface
Road condition review through the web
Database
Storing road surface condition data
Storing user profile data
Datamining
Data analysis.
17. Current State
More than 6000 active users
Data from 300 cities all over the world
Pothole recognition accuracy
confirmed by our users and some
road authorities
18. The PeacockTeam
QD business incubator residents
Egor Ivanov
Sergey Khavrenko
Vlad Efremov
Vitaly Ivanov
Mike VakulenkoPavel Ershov Elena Alekseenko
Ivan Ushkevich
Ruslan Kreymer
Artem Bankin
And more…
19. Honors list
First Prize All-Russia Innovation Project Competition
MGU Lomonosova
Participation Google Summer of Code
Google
Second Prize International competition ITfon
Saint-Petersburg Goverment
First Prize Opera Start Up Awards
Opera
Participation Slush
Aaltoes
Grand prix Start Up Tour
Federal Agency for Youth Affairs
Participation IConvention
Opera
Finals WebReady
Ingria
22. Background
Standard insurance programs are based on
general data.
Insurance companies are looking for more ways
to collect relevant driving data for policy risk
pricing optimization and new programs
developing.
Their goals are decreasing risks and attracting
new clients.
26. GoodDrive is
Economy
No extra equipment costs
Simple scaling
Handy
Social
Simple distribution
Smart
More info
Simple communication
27. Technologies
GPS
User positioning on the map
Locating potholes on the map
Accelerometer
Defining potholes and defects on the road
Maps (Google, Yandex, Open Street Maps)
Visualization of user position
Visualization of road surface condition
Web interface
Road condition review through the web
Database
Storing road surface condition data
Storing user profile data
Datamining
Data analysis
28. Marketing Research
Europe
1 200 000 PAYD customers
80 000 000 in 2020 (forecast)
Market volume from 24M$ to 1.6B$ in 2020
USA
2 000 000 PAYD customers
160 000 000 in 2020 (forecast)
Market volume from 60M$ to 4.8B$ in 2020
Russia
Almost none PAYD customers
600 000 in 2015 (forecast)
Market volume 11M$ in 2015
29. Business model
The insurance company distribute the app.
The clients use the app and get discounts.
The insurance company gets reports and
calculates the fees based on collected data,
therefore it minimizes the risks and makes
the services cheaper for careful drivers.
GoodDrive gets the money from insurance
company.
Hinweis der Redaktion
Установленное на мобильном телефоне приложение снимает данные с встроенных датчиков и отправляет их на сервер. На сервере происходит интеллектуальная обработка и их визуализация.
Приоритетным направлением сейчас является набор пользовательской базы. При достижении 10000 пользователей в России, мы будем готовы к предоставлению данных для навигационных и дорожных служб. Если пользователям-автомобилистам достаточно для получения данных веб интерфейса, то навигационным, а тем более дорожным необходим более глубокий доступ к данным.
Egor Ivanov, Artem Bankin, Vlad Efremov, Ruslan Kreymer, Pavel Ershov, Mike Vakulenko, Elena Alekseenko, Vitaly Ivanov, Ivan Ushkevich, Sergey Khavrenko