Service Overview
In-Cabin AI Agent
AI-powered Digital Cockpit service that transforms in-vehicle interactions through AI-driven voice recognition and automation. Enables hands-free control of navigation, climate, and entertainment — without relying on cameras. Integrates with existing IVI platforms to predict high-risk driving situations from CAN-bus data, delivering a safer and more personalized cabin experience.
95%+
detection accuracy
98%+
voice recognition
<500ms
response latency
99.5%
system uptime
ASIL B/C
safety certified
Capabilities
Key capabilities
Driver Attention Monitoring
Real-time tracking of driver attention levels, fatigue detection, and alertness assessment.
Occupant & Gesture Recognition
Automatic detection of occupants, seat occupancy, and gesture-based vehicle control.
Natural Language Voice Commands
Context-aware voice assistant that understands driver intent and controls vehicle functions.
Personalized User Profiles
System learns individual driver preferences and auto-adjusts climate, seat position, and entertainment.
Safety-Critical Design
ASIL-compliant system design meeting automotive industry safety standards.
Technology
Technology stack
| Component | Technology | Purpose |
|---|---|---|
| Monitoring | Computer Vision, Deep Learning | Driver/occupant detection |
| Voice Processing | NLP, Speech Recognition | Voice command understanding |
| Integration | IVI Platform, Cluster, HUD | Cockpit system integration |
| Personalization | Machine Learning | User preference learning |
| Safety | ASIL B/C Compliance | Safety-critical certification |
How we work
Implementation approach
Phase 1: Requirements & Integration Planning
- Define cockpit integration requirements
- Analyze existing IVI/Cluster/HUD systems
- Plan DMS/OMS sensor placement and calibration
Phase 2: System Development
- Develop driver monitoring algorithms
- Train occupant detection models
- Build voice assistant with automotive context
Phase 3: Integration & Validation
- Integrate with vehicle cockpit systems
- Conduct safety-critical testing (ASIL compliance)
- Validate across different driver profiles
Phase 4: Deployment & Optimization
- Deploy to vehicle fleet
- Collect user feedback and performance data
- Continuously improve based on real-world usage
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