KnowGo Score provides a comprehensive privacy-focused driver risk scoring solution based on an extensible machine learning-based risk scoring meta model, capable of working on a variety of data sources at a variety of resolutions.
KnowGo Score Capabilities
Deploy Anywhere
Deploy in the Cloud, directly in the Vehicle, and anywhere in-between.
Multi-dimensional Risk Analysis
Driving risk is more than just harsh braking and swerving. Obtain a contextualized analysis across multiple dimensions in order to understand the factors contributing to driving risk on each journey.
Custom Risk Models and Weighting
Choose from our available scoring models with your own weights, or provide your own models through our extensible plugin architecture.
Driver Coaching & Support
Identify specific and recurring risks, provide targeted recommendations, and determine areas for improvement over time.
Real-Time Scoring & Alerting
Scoring of streaming data from in-progress journeys allow for risk detection and alerting to be carried out in real-time, improving driver safety.
Adaptive Risk Scoring
Driving different vehicles with different capabilities, or in different driving environments? Receive a consistent risk score that adapts to these variances without unfairly penalizing the driver.
Proportional Alerting
Risks aren't equal, why should alerting be? Raise different driver-configurable alerts and take different actions proportional to the level and cause of detected risk.
Privacy-by-Design
Share scores, not data. Consent-driven data flows with dynamic data filtering & minimization ensure the driver remains in control.
How does it work?
Multi-Dimensional Risk Analysis, Reporting, and Alerting
Driving risk is not limited to collision avoidance or driver alertness. KnowGo Score leverages a wide range of AI/ML-based risk assessment models to derive a holistic risk score capable of letting you know where the biggest risks are coming from on a per-journey basis. This includes capabilities for:
- Biometric driver monitoring
- Driver alertness and attentiveness monitoring
- Detection of in-cabin behaviour that can result in distracted driving
- Monitoring road and environmental conditions
These factors can be further customized for assessing vehicle-specific risks, or extended for interoperability with existing ADAS systems.
Dynamic Risk-Adaptation in Autonomous Driving Systems
Different levels of driving automation (SAE J3106) expose different risks for the driver and vehicle. KnowGo Score can be leveraged to:
- Provide a list of risk scorers and weights appropriate to a given level.
- Dynamically adjust risk scorers and weights when switching levels.
- Customize risk criteria and weighting per-ODD.
- Leverage risk assessment as a basis for planning and decision-making.
Custom Scorers & Weighting for your Environment
Risk factors and their impact on overall driving risk change in accordance with the environment. KnowGo Score allows you to:
- Build a custom risk profile appropriate to your operational environment by selecting which of our scorers to apply where.
- Dynamically adjust per-scorer weights in response to environmental changes.
- Define your own scoring models that capture risks unique to your environment and seamlessly integrate them via our extensible plugin architecture.
KnowGo Platform Integrations
Integrate KnowGo Score with other KnowGo Platform components for even more functionality:
KnowGo Driver Monitor
Include driver altertness and in-cabin distraction monitoring in risk assessment.
KnowGo Driver Verify
Verify and prove driver identity on a per-journey basis.
KnowGo Log
Non-repudiable logging of scoring decisions with independent attestation.
KnowGo Car
Provide scoring transparency and an analysis of per-factor risk assessment.
KnowGo Watch
Driver alerting and optional heartrate monitoring with overall risk assessment at a glance.
KnowGo Vehicle Simulator
Validate scoring models and methodologies across a range of driving conditions and scenarios.
