AI for Fleet Safety & Driver Behavior Analytics

Detect risky driving, prevent collisions, and coach drivers with AI using telematics, video, and real-time alerts.

Collisions, insurance costs, and downtime threaten fleet margins. AI can score drivers, detect risky patterns, and deliver real-time coaching while providing evidence-grade video for claims.

Post-trip coaching sessions with clips and tips.

Gamified leaderboards; targeted training plans.

Automatic incident clips; context-aware evidence.

live demo · related simulation● LIVE

Driver tenure, shift length, fatigue indicators.

On-device event detection; buffering; LTE/Wi-Fi sync.

Streaming pipeline; feature store with privacy filtering.

Frequently asked questions

What is the in-cab app and its integration with alert systems?

In-cab app/integration for alerts; OTA updates.

How does the Claims portal utilize clips and telematics data?

The Claims portal uses video clips and telematics data as evidence to support claims related to incidents recorded by the system.

What is meant by deploying dual dashcams and telematics, and what are the event taxonomies involved?

Deploying dual dashcams and telematics involves configuring the system to record events, and ‘event taxonomies’ categorize these recordings based on their type – such as collisions, near misses, or driver behavior.

How do I build event detection and calibrate the relevant thresholds for triggering alerts?

Building event detection involves establishing criteria for identifying specific incidents, and calibrating thresholds allows you to adjust sensitivity levels to minimize false alarms while ensuring timely advisory alerts are issued when a genuine event occurs.

▶ Try it live

Everything above runs in your browser — open River Network Formation and change the parameters while it is running. Nothing is installed, nothing is uploaded, the whole model lives in one tab.

▶ Open River Network Formation simulation

AI for Fleet Safety & Driver Behavior Analytics | ML Knowledge Hub