Initiative details
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.
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.
Initiative date
to
Who was/is your target audience?
Policy makers
Public authorities
Company employees
Fleet operators
Car drivers
Car drivers – professional
Educational staff
Emergency services
Public transport
Van drivers
Lorry/truck drivers
Topic
Knowledge building and sharing
Create awareness
Improve vehicles and infrastructure
Organisation details
WingDriver - Robusto & Pomposo, LDA
Enterprise
Portugal
Porto
Contact name
André Azevedo
Telephone number
914253574
andre@wingdriver.com
Website
Project activities
If you work together with external partners, list the most important partners and briefly describe their role.
Portuguese Road Prevention Authority to provide us with knowledge on how to coach drivers and to analyse the data collected to generate critical information.
Please describe the project activities you carried/are carrying out and the time period over which these were implemented.
We launched our app and SDK in October 2022, and we reached already these achievements:
1st Paying customer - We signed our first reseller contract with the Portuguese Road Prevention Authority who provides EU-mandated driver training to fleet companies. This project will be developed in partnership with TomTom with whom we will integrate their digital map data needed to identify the road environment of each required driving situation. This project will start with 10 to 20 users in January, but PRP is already in conversations with some of their big clients to deploy the solution more broadly with both commercial and consumer drivers during 1Q2023.
1st SDK customer - With a fleet of 80.000 vehicles our partner will launch their driver app with our SDK in October 2023, with the goal to reach all drivers in 1 year.
Proof of concept projects with:
- An insurance company with 200,000 drivers using their mobile app and two fleet management solution companies, managing a combined fleet of more than 2.5 million vehicles, are testing our solution now for potential deployment across their user base. First results on testing are excellent.
- Fleet management solution company with 3.5 million vehicles
- Fleet management solution company with 2.5 million vehicles
- Automotive manufacturer
- 2x Telecom providers
- Highway maintenance company with mobility apps
- Autonomous vehicle tech supplier
- Driver training school
1st Paying customer - We signed our first reseller contract with the Portuguese Road Prevention Authority who provides EU-mandated driver training to fleet companies. This project will be developed in partnership with TomTom with whom we will integrate their digital map data needed to identify the road environment of each required driving situation. This project will start with 10 to 20 users in January, but PRP is already in conversations with some of their big clients to deploy the solution more broadly with both commercial and consumer drivers during 1Q2023.
1st SDK customer - With a fleet of 80.000 vehicles our partner will launch their driver app with our SDK in October 2023, with the goal to reach all drivers in 1 year.
Proof of concept projects with:
- An insurance company with 200,000 drivers using their mobile app and two fleet management solution companies, managing a combined fleet of more than 2.5 million vehicles, are testing our solution now for potential deployment across their user base. First results on testing are excellent.
- Fleet management solution company with 3.5 million vehicles
- Fleet management solution company with 2.5 million vehicles
- Automotive manufacturer
- 2x Telecom providers
- Highway maintenance company with mobility apps
- Autonomous vehicle tech supplier
- Driver training school
Evaluation
What has been the effect of the activities?
We estimate that our Driver monitoring system massively reduces up to 80% distracted driving, collisions, and losses and reduces up to
400% rear-end accidents over traditional approaches.
400% rear-end accidents over traditional approaches.
Please briefly explain why your initiative is a good example of improving road safety.
WingDriver is a revolutionary driver monitoring solution that harnesses the power of smartphones, computer vision and AI technology to enhance safety on the road.
Our unique approach uses the driver's smartphone to detect a range of driver states, including drowsiness, distraction, fatigue, and more. Soon we will be able to detect cognitive load, stress and driver impairment. Our SDK strategy enables us to implement our technology into existing mobile apps that already have a large user base, BIG DATA play. Our data-driven approach allows us to eventually understand the correlation between driver state and driver actions and accidents. We will be able to identify risky behavior by drivers that we KNOW leads to accidents, and with effective intervention, eliminate a large percentage of those accidents and fatalities. This is a noble goal that we are dedicated to achieving, and we are excited about the potential of our technology to make a real impact on road safety.
Our unique approach uses the driver's smartphone to detect a range of driver states, including drowsiness, distraction, fatigue, and more. Soon we will be able to detect cognitive load, stress and driver impairment. Our SDK strategy enables us to implement our technology into existing mobile apps that already have a large user base, BIG DATA play. Our data-driven approach allows us to eventually understand the correlation between driver state and driver actions and accidents. We will be able to identify risky behavior by drivers that we KNOW leads to accidents, and with effective intervention, eliminate a large percentage of those accidents and fatalities. This is a noble goal that we are dedicated to achieving, and we are excited about the potential of our technology to make a real impact on road safety.
How have you shared information about your project and its results?
We are still sharing those results with our clients, but we plan to have a great media coverage during this summer.
