This blog explores in-cabin monitoring solutions for autonomous vehicles and highlights the key functions, critical technologies driving their development.
Read MoreIn-Cabin Occupant Detection & Behavior Insight Services
Train your in-cabin monitoring system to understand every occupant, every gesture, every seat, and every scenario inside the vehicle.
Complete Cabin Environment Monitoring Insights for AV and ADAS
DDD delivers occupant-level insights for OMS systems, including posture, gestures, belt status, movement patterns, emotional cues, and CPD (Child Presence Detection). Our data insights help your models interpret these behaviors accurately and inclusively.
Industries We Support
Defensetech
Monitor crew actions, readiness, and multi-operator interactions under mission constraints.
Robotics
Enable humanoids and tele-operated systems to understand human body language inside controlled spaces.
Rail/Aviation/Marine
Enhance crew and passenger monitoring for operational safety and compliance.
What Our Clients Say
Fully Managed Occupant Behavior Annotation
Discovery & scoping
Define target occupants (adult, child, pet), postures, gestures, seat interactions, safety markers, and multi-cabin layouts.
Ontology & Behavior Mapping
We build taxonomies covering posture transitions, seat usage, seatbelt states, gesture sets, control interactions, personal objects, emotional cues, and multi-occupant dynamics.
Expert Annotator Training
Teams learn to recognize cabin-specific behaviors across cultures, ages, lighting conditions, attire, and body types.
Annotation & Monitoring
Annotate per-frame occupant presence, identity, position, limb orientation, occlusions, seatbelt status, child seats, objects, and risk indicators.
Quality Review & Behavior Enrichment
Review complex cases such as overlapping limbs, partial occlusions, multiple children, reflections, and low-light environments.
Delivery & Continuous Improvement
Integrate with your OMS workflows and enrich datasets as new scenarios emerge.
Why Choose DDD?
Scalable Global Teams
Our dedicated delivery groups stay with your project for its entire lifecycle, ensuring consistency across millions of frames and multi-year development cycles.
Secure & Compliant
We operate under ISO 27001, SOC 2 Type 2, GDPR, HIPAA, and TISAX-aligned standards, ensuring strict protection for in-cabin video and biometric-like human-state data.
HITL Quality Assurance
Our multilayer QA framework is engineered for behavior-rich annotation, ensuring that critical states of occupant behavior are captured with extreme accuracy.
Platform-Agnostic Integration
We work seamlessly inside your tools, workflows, ontologies, and multi-sensor pipelines, no forced platforms, no proprietary lock-in.
Blog
Read expert articles, insights, and industry benchmarks across key AI industries.
Enhancing In-Cabin Monitoring Systems for Autonomous Vehicles with Data Annotation
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Announcing the Launch of Autonomous Fleet Ops
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Read MoreHigh-Fidelity Occupant Data for Intelligent Mobility
Frequently Asked Questions
What is occupant detection and behavior insight annotation?
It involves labeling who is in the cabin, adults, children, pets, along with their posture, movements, gestures, emotional cues, seatbelt status, object interactions, and overall behavior, so OMS models can understand and respond to human activity inside the vehicle.
How does DDD combine human-in-the-loop and automation?
We annotate posture transitions, gestures, seat occupancy, seatbelt usage, emotional indicators, reaching movements, sleeping states, interactions with controls or devices, and CPD-related scenarios such as unattended children or child seats.
Can DDD annotate safety-critical events like CPD or unsafe postures?
Absolutely. Our teams are trained to identify high-risk events, including child presence, improper seating, unrestrained passengers, medical distress, and hazardous movements that affect safety.
How does DDD ensure accuracy across diverse environments and occupants?
We train annotators on varied body types, clothing, lighting, occlusions, cultural expressions, and environmental conditions. Multi-layer QA ensures consistent labeling of even subtle or ambiguous behaviors.
Is guest and child-related cabin data handled securely?
Yes. All in-cabin imagery, including minors, is protected under ISO 27001, SOC 2 Type 2, GDPR, HIPAA, and TISAX-aligned controls with strict access restrictions and secure processing environments.
Can DDD build custom taxonomies for occupant behaviors?
Yes. We work closely with your perception team to design labeling schemas tailored to your OMS goals, regulatory requirements, and interaction model needs.