Let’s dig deeper into the significance of LiDAR annotation for autonomous driving, inspect the ways in which it’s implemented,...
Read MoreIn-Cabin AI & UX Data Solutions
Enabling Safer, Smarter, Human-Centered Physical AI.
Transforming how organizations build driver monitoring systems with high-precision data operations and behavior-rich training datasets.
How We Power In-Cabin Intelligence
From perception to human interaction, we power in-cabin intelligence across the full spectrum of Physical AI systems.
Driver State & Behavior Understanding
We recognize driver attention, alertness, and readiness using gaze mapping and behavior cues.
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We detect distraction, fatigue, and handover behavior—even under glare, occlusion, PPE, and extreme lighting.
Occupant Awareness & Cabin Context
We identify occupants (adults, children, pets), seat occupancy, and track posture/gesture across multi-seat cabins.
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We support CPD and safety and comfort personalization by interpreting emotions, movement, and interactions in cluttered, dynamic cabins.
HMI, UX, and Operator Interaction Insight
We measure how users engage with touch, buttons, and voice, and evaluate UX success across voice/gesture/gaze.
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We detect confusion/frustration, validate alert comprehension, and assess recovery behavior across varied cabin layouts and profiles.
Edge Cases & Safety-Critical Event Analysis
We analyze rare, safety-critical behaviors (medical distress, panic, sudden motion) and disruptive events.
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(braking, collision shock, turbulence). We handle occlusions and unexpected multi-occupant interactions, validating workflow deviations, anomalies, and fallback behavior.
Our In-Cabin AI & UX Services
Driver Condition & Behavior Annotation
We capture fine-grained driver states such as alertness, gaze patterns, distraction, fatigue, and hand-to-control interactions, training DMS models to respond accurately in real-world conditions.
In-Cabin Occupant Detection & Behavior Insight
From posture tracking to seat occupancy, gesture analysis, emotional cues, and safety-critical child presence detection, we deliver high-fidelity annotations for comprehensive OMS and cabin-level intelligence.
Rare Event & Edge-Case Scenario Annotation
We identify and enrich long-tail scenarios such as occlusions, emergency responses, extreme lighting conditions, equipment interference, and abnormal operator behavior to strengthen model robustness and safety.
Industries We Serve
Autonomous Driving
High-fidelity in-cabin behavioral data that strengthens DMS/OMS performance for safer, more reliable autonomous vehicles.
Defense tech
Human-state and operator-behavior insights that enhance situational awareness and mission readiness inside defense and tactical vehicle environments.
Robotics
Operator-in-the-loop and cabin-interaction datasets that improve tele-operation, humanoid perception, and robot responsiveness to human intent.
Rail / Aviation / Marine
Comprehensive occupant, crew, and operator monitoring data supporting safety, compliance, and operational intelligence across multi-modal transportation cabins.
Why Choose DDD?
Expertise in Human-Centric Physical AI
Our teams specialize in annotating complex driver, operator, and occupant behaviors, supporting the most advanced intelligence systems across physical AI.
Strategic Data Partners
We bring behavioral SMEs, domain context, and data strategy insights to every engagement, helping clients build datasets that meet safety, compliance, and real-world performance requirements.
Global Workforce Built for Scale & Continuity
With thousands of full-time specialists across multiple regions, we offer 24/7 operations, rapid scale-up, and long-term team continuity to support large, multi-modal in-cabin datasets.
Flexible, Platform-Agnostic Integration
We work seamlessly within your existing tools, sensors, and data pipelines, supporting custom workflows without requiring proprietary platforms.
Our End-to-End Workflow
A streamlined, end-to-end process built to deliver safe, accurate, and production-ready in-cabin datasets.
Blogs
Explore the latest techniques and thought leadership shaping the future of Physical AI.
The Role of Digital Twins in Reducing Environmental Impact of Autonomous Driving
In this blog, we will explore how the adoption of digital twin technology is being utilized to reduce environmental...
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Enhancing In-Cabin Monitoring Systems for Autonomous Vehicles with Data Annotation
In this blog, we will learn how driver monitoring systems work, what type of data is collected, and discuss...
Read MoreBuild Safer, Smarter In-Cabin AI With Data You Can Trust.
Frequently Asked Questions
What is In-Cabin AI, and how does DDD support it?
In-Cabin AI refers to the computer vision and sensing systems that understand driver states, occupant behavior, cabin context, and human-machine interaction. DDD provides the high-quality annotated data these models rely on, covering gaze, posture, gestures, seat occupancy, UX interactions, and rare events across diverse cabin environments.
Which in-cabin use cases does DDD specialize in?
We support the full spectrum of in-cabin intelligence, including driver condition monitoring, occupant detection, behavior analysis, HMI/UX interaction understanding, and long-tail safety scenarios. Our teams work across automotive, defense, robotics, agriculture, aviation, and maritime systems.
What data types can DDD annotate for in-cabin systems?
We handle multi-modal cabin data, including RGB, infrared, depth, thermal video, LiDAR, and sensor-aligned streams such as CAN bus or biometrics (when provided). We also support multi-camera cabin layouts and synchronized multi-sensor annotation.
How does DDD ensure accuracy for behavior-rich annotation?
We combine expert annotators with multi-layer quality reviews, behavioral taxonomies, scenario libraries, and specialized workflows for subtle or ambiguous human states. This ensures precision even in challenging conditions like occlusion, PPE, low light, cluttered cabins, and rapid movement.
Can DDD handle edge cases and rare scenarios?
Yes. We are experts in identifying and enriching long-tail behaviors such as emergency responses, fatigue, distraction events, sudden posture shifts, child presence risks, and anomalous operator actions, providing the coverage needed for safe real-world deployment.
Is DDD compliant with automotive and mobility security standards?
Absolutely. Our global operations follow ISO 27001, SOC 2 Type 2, GDPR, HIPAA, and TISAX-aligned frameworks. Sensitive in-cabin and operator data is handled within secure, access-controlled environments with strict confidentiality protocols.