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Every year almost 2 million crashes are human-caused partially because of distraction and sleep, resulting in a staggering $287 billion in losses for insurance companies. WingDriver solves that using AI and your smartphone. Our technology alert drivers to keep them awake and focused.
WingDriverTM is the only company implementing Computer Vision and AI on smartphones and mobile operating systems to analyze combined facial analysis, vehicle inertial data and the vehicle surroundings to accurately identify driver drowsiness, fatigue, distraction and other driver states to prevent accidents.
The WingDriverTM tech uses smartphone cameras and sensors or the in-vehicle driver monitoring camera and Android automotive unit and combined with Virginia Tech Transportation Institute (VTTI) research results, for the decision making processes that will identify the driver situation and alert drivers in real-time using audio and visual messages. Additionally, our Big Mobility Data strategy will enable us to understand the correlation between driver behavior and accidents with greater precision to accurately assess driver risk.
Our solution is based on:
- WingDriverTM Software Development Kit (SDK) - To enable any mobile application company or automotive manufacturers to include these safety features in their products;
- WingDriverTM Cloud data - Enabling for a better risk assessment and consequently improved insurance products;
- WingDriverTM App and White-label apps - Our iOS and Android apps are developed in a way that enables a quick change on the visuals to fit our client needs. Facilitating proof of concept activities.

WingDriverTM delivers a data driven solution to monitor, evaluate and reward safe drivers, enabling:
- Reduce operational costs - By preventing collisions with real time alerts, drivers will drive safer, cost related to insurance and maintenance will be decreased, and fleet uptime will be increased.
- Improve driver behaviour - By collecting accurate driver behavioral data (drive assist data, vehicle assist data and telematics), WingDriver enables personalized coaching and instruction, resulting in improved driving behavior and habits.
-Tailormade for insurance - By analyzing data on factors such as sleep, distraction, and overall driving performance, insurers can accurately assess and price risk for individual drivers (usage-based insurance).
- Keep customers engaged - Cutting-edge solution that adds valuable insights into customers’ driving behavior, their performance through personalized reports and their motivation with gamification elements such as rewards and challenges.

Unsafety is the main reason for people not to cycle. What makes cycling unsafe? It can be due to both objective elements such as inappropriate infrastructure, but also subjective elements such as the behaviour of other road users. To get more people cycling, it is important to locate, identify and address both elements.

The road safety challenge is motorists parking their vehicle on footpaths and cycle lanes, blocking access for pedestrians, cyclists, pushchairs and those with reduced mobility. This leads to vulnerable road users such as wheelchair users, the visually impaired, people with buggies, children and older pedestrians not having adequate room to walk safely, potentially forcing them out onto the road. Parking in cycle lanes forces cyclists out into mainstream traffic, where there is an increased risk of a collision occurring.

The book "My Hero" graces the libraries of the 110 schools of Rhodes following a decision by the Board of Directors of the Primary & Secondary School Committee of the Municipality of Rhodes. The goal is to adorn the libraries of all schools in the South Aegean Region.
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I feel proud because I managed to write a book starting with my Hero who returns to Rhodes who meets his friends, operators, the Prime Minister of his country to talk about the human lives that are lost in the streets and with the aim of being read and for its readers to know the causes of traffic accidents, for my country, for the Strategic Road Safety Improvement Plan in Greece, for Europe, for World Victims' Remembrance Day, for supporting victims and everything about traffic accidents and how they can be reduced.

The drivers of An Post deliver to over 2 million addresses on a daily basis. Unfortunately, some drivers do not respect the speed limits or do not wear a seatbelt. The campaign also want to create more awareness around vehicle rollaway prevention and safe movement of vehicles.

A simply file to print and give in Public Administrations offices tò cooperate in fixing black spots.

Data oriented and supported measures to protect vulnerable road users by understanding behavioural aspects at different infrastructural sections is mandatory for professional and successful pro-active road safety work. Usual data collection within the road safety sector is provided by short-timed data collection by hand or police-initiated reports after crashes happened. For better results in research and infrastructure planning, much more data over longer timespans is needed to provide better understanding on traffic flow mechanics, human behaviour and infrastructural effects on both former topics.
With the Mobility Observation Box (MOB) an image sensor based solution to collect, measure and evaluate trajectory data that integrates seamless into traffic flows without interfering them was developed to overcome the data collection issues. MOB is able to collect data for up to 14 consecutive days on-site with machine learning based post-processing of relevant safety KPIs such as TTC and PET. The technology is battery-powered and can be mounted nearly everywhere due to its lightweight.