Project description
Cutting-edge technology to reduce road accidents
Each year, 50 million people are injured and 1.35 million people lose their lives in car accidents, 90 % of which are caused by human error. Unfortunately, despite the billions spent on advanced driver-assistance systems, there is still an urgent need to find new ways to increase road safety. The EU funded P-APT project proposes a radical, game-changing solution, thanks to development of the Provizio Accident Prevention Technnology™ (APT) Platform. It will offer cutting-edge technology that combines proprietary vision sensors with machine learning (for further, wider vision that can also see through obstacles). It detects danger in all-weather conditions and applies predictive analytics in real time, to enhance driver behaviour. P-APT will effectively help drivers avoid crashes and reduce casualties on roads.
Objective
Provizio is radically transforming vehicle safety with our proprietary Accident Prevention Technology (APT) platform.
Human error is the fault in 90% of car accidents. Over 1.35 million people are killed every year on the road (equivalent to 20
airplane crashes every single day) + 50 million injuries [World Health Organisation] = a cost USD $24 trillion (2%+ of
worldwide GDP) [International Road Assessment Programme, iRAP] . More than $80 billion has been invested in ADAS over
the last 5 years [Brookings Institute]…with zero impact on road deaths.
Provizio was founded by a team of automotive and aerospace industry veterans with a mission to use advanced technology
to reduce the devastation caused by road accidents. Our skill sets include entrepreneurship, scaling start-ups to exit, VC
fund raising, building strong defensible IP portfolios as well as an enviable track record in developing the most advanced
technology in automotive radar.
This proposal outlines the further development of the APT Platform. APT combines proprietary vision sensors and machine
learning to see further, wider and through obstacles, detecting danger in all-weather conditions and applying predictive
analytics in real time to augment driver behaviour…and prevent accidents.
Fields of science
- social scienceseconomics and businessbusiness and managemententrepreneurship
- engineering and technologyelectrical engineering, electronic engineering, information engineeringinformation engineeringtelecommunicationsradio technologyradar
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
SME - SME instrumentCoordinator
V94 VY47 LIMERICK
Ireland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.