A solution that uses video telematics data to optimize vehicle insurance packages.
Location: Great Britain
An insurance company from London contacted Euristiq with an idea of a complex software solution that should help to solve three tasks: real-time fleet management using telematics data; safer transportations with driver behavior monitoring; and minimized insurance expenses by offering optimized vehicle insurance packages based on the collected data.
Key results we delivered
A cloud-based platform that obtains video telematics data to provide end-to-end fleet management, monitor drivers’ behavior and uses this data to optimize vehicle insurance packages.
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Tools and technologies
Insufficient vehicle and driver data for insurance companies
The client came to the conclusion that data obtained from non-visual telematics isn’t sufficient to conduct a comprehensive risk analysis. Thus they saw an opportunity to create a cloud-based IoT solution that uses visual telematics data from cameras. Such a solution could optimize vehicle insurance policies and provide better driver monitoring and coaching.
Cloud-based platform for storing and categorizing visual telemetry data
Euristiq began the project with the Discovery stage. After six months, the client decided to launch a full-cycle development based on our feature-based project estimation.
As a result, we started developing a cloud platform that automatically collects videos of possible accidents from cameras installed in vehicles and provides access to driving record details.
The cloud platform is designed for three types of users:
- Clients admins who have full access to the system
- Users from the monitoring centers who view and categorize videos
- Companies with a fleet of vehicles that need to monitor their drivers
One of the challenges our developers faced was the integration and customization of cameras because they only support protocols developed by the Ministry of Transport of the People’s Republic of China which differ from the widespread protocols we are accustomed to. We connected the cameras to the AWS infrastructure and integrated them into our cloud platform.
The cameras are equipped with different kinds of sensors such as proximity and speed sensors, a G-Force sensor that tracks the vehicle’s inclination, tilt, or vibrations. They are connected to the internet, have GPS tracking, and measure vehicle speed. All these capabilities combined help detect incidents.
If the camera detects a deviation from a predefined scope of events, it sends a signal to our server which in its turn requests a 10-second video of the possible accident – 5 seconds prior and 5 seconds posterior. Our platform collects such videos which are later viewed and categorized by the incident monitoring center. They are filtered according to trigger type, weather conditions, driving behavior.