Anyverse INCABIN

High-Fidelity Synthetic Data for In-Cabin Monitoring AI

Anyverse manages the Virtual Assessment Implementation Program — implementing Euro NCAP's virtual assessment framework for DMS, OMS and CPD ahead of 2029.

Speed up every stage of the
In-Cabin perception lifecycle

Anyverse INCABIN is built by engineers, for engineers. We ensure your in-cabin AI teams have the exact data they need across the entire machine learning pipeline, leveraging tailored synthetic datasets to achieve your system’s specific goals at every stage of development.

Speed up every stage of the In-Cabin perception lifecycle - Synthetic data for in-cabin monitoring

Synthetic data for critical in-cabin safety applications

Anyverse INCABIN gives you access to a rich catalog of simulation scenarios aligned with Euro NCAP 2026+ safety protocols and global standards. Easily generate high-quality datasets for Driver Monitoring Systems (DMS), Occupant Monitoring Systems (OMS), Child Presence Detection (CPD), and other critical in-cabin safety applications.

DMS Events - Top Driver distraction due to cell phone use, captured by NIR sensor Bottom Driver fatigue detected, yawning behavior visible

Driver state monitoring

Speed up DMS integration, prepare models to pass consumer tests, and ensure safety and performance worldwide.

Anyverse INCABIN models digital twins of any cabin or manufacturer, and simulates diverse drivers, behaviors, or environmental conditions to ensure robust DMS models for drowsiness detection, driver’s attention, distraction and disengagement detection, driver authentication, hands-on-steering-wheel detection, and other DMS use cases.

Occupant monitoring

Occupant Monitoring Systems (OMS) enable the detection and classification of vehicle occupants to enhance further safety functions.

Anyverse INCABIN simulates all kinds of cabins, adding as much variability of objects, activity, and characters as needed in a fraction of time and cost compared to real-world data. Meet Euro NCAP requirements for occupant state monitoring, passenger classification, seat occupancy, gesture and body posture monitoring (seat-belt & headrests), and other living beings detection such as pets.

Child presence detection (CPD)

Child Presence Detection is assessed by Euro NCAP and all regional assessment programs such as IIHS-HLDI, or China NCAP. For reasons of children’s privacy protection, obtaining real-world data to feed AI models is especially sensitive.

Anyverse INCABIN allows baby, toddler, or child modeling of different ages and ethnicities for heatstroke avoidance, child seat and seatbelt detection, incorrectly fitted child seat or seatbelt detection, children left behind, and other CPD cases.

DMS Event – Driver Yawning (Physics-Based NIR Simulation) 2

RGB-IR sensor and camera configuration

Manufacturers are developing interior systems with different sensor placements depending on whether they monitor the driver, the occupants, or all of them at the same time.

Anyverse INCABIN performs physically-based sensor simulation to accurately model any RGB/IR and iToF sensors. The platform allows cameras to be incorporated in the most common locations such as the rearview mirror, center stack, or any other configuration required for specific vehicles, including multiple cameras simultaneously.

Radar sensor simulation

Anyverse’s radar simulation, built on the proven Shooting and Bouncing Rays (SBR) technique, elevates radar modeling by precisely simulating FMCW waveforms, MIMO systems, and real-world signal interactions. It delivers high-resolution range, Doppler, azimuth, and elevation maps, ensuring outstanding spatial precision and accurate target identification.

With fully customizable radar parameters, GPU-accelerated processing, and support for exporting radar cube maps and point clouds, Anyverse’s radar simulation is an ideal solution for generating high-quality validation data.

Occupant Activity & Object Interaction – Driver Handling Cell Phone with Pet on Front Passenger Seat (RGB Sensor) - Anyverse InCabin Generated

Activity and object detection

Assessment Programs and Consumer Tests focus not only on drowsiness or driving distraction detection but also on driver and occupant operating status.

Anyverse INCABIN helps you detect any interaction of the driver or occupants with each other or with objects, such as handling a phone or other devices, drinking, and other distractions that may compromise safety.

Seat belt detection

Under the Active Safety guidelines for assisted and automated driving, in-cabin monitoring systems need to recognize and warn of improper or non-use of the seat belt.

Anyverse INCABIN enables manufacturers to generate datasets to detect seat belt use under any circumstance regardless of the vehicle model, driver or occupants, child seat, visual occlusions, or any other variable that may interfere.

DMS Event – Prolonged Driver Distraction Toward Passenger-Side Window (NIR Sensor)

Surroundings interaction and detection

European protection of vulnerable road users and other regulations require driver monitoring systems to enhance traffic safety standards not only for vehicle passengers, but pedestrians as well.

Manufacturers don’t have to rely on manually labeled real-world datasets or poor-quality simulators. Leveraging Anyverse’s advanced eye gaze estimation and rendering technology, in-cabin systems can accurately detect visual interaction between pedestrian and driver, pedestrian detection in vehicle’s trajectory, and intrusion or unauthorized drivers.

DMS Events - Top Driver distraction due to cell phone use, captured by NIR sensor Bottom Driver fatigue detected, yawning behavior visible
DMS Events - Top: Driver distraction due to cell phone use, captured by (NIR) / Bottom: Driver fatigue detected, yawning behavior visible (RGB)

Driver state monitoring

Speed up DMS integration, prepare models to pass consumer tests, and ensure safety and performance worldwide.

Anyverse INCABIN models digital twins of any cabin or manufacturer, and simulates diverse drivers, behaviors, or environmental conditions to ensure robust DMS models for drowsiness detection, driver’s attention, distraction and disengagement detection, driver authentication, hands-on-steering-wheel detection, and other DMS use cases.

Diversity of ethnicities and traits

Gaze: lizard and owl ocular movement

Variety of head and body pose

Facial expression variation

Occupant monitoring

Occupant Monitoring Systems (OMS) enable the detection and classification of vehicle occupants to enhance further safety functions.

Anyverse INCABIN simulates all kinds of cabins, adding as much variability of objects, activity, and characters as needed in a fraction of time and cost compared to real-world data. Meet Euro NCAP requirements for occupant state monitoring, passenger classification, seat occupancy, gesture and body posture monitoring (seat-belt & headrests), and other living beings detection such as pets.

Diverse & inclusive characters

All manufacturers and cabin models

Custom camera placement

Seat belt detection

OMS Events – Occupant Interaction and Associated Driver Distraction
CPD Event - Child seat and harness detection

Child presence detection (CPD)

Child Presence Detection is assessed by Euro NCAP and all regional assessment programs such as IIHS-HLDI, or China NCAP. For reasons of children’s privacy protection, obtaining real-world data to feed AI models is especially sensitive.

Anyverse INCABIN allows baby, toddler, or child modeling of different ages and ethnicities for heatstroke avoidance, child seat and seatbelt detection, incorrectly fitted child seat or seatbelt detection, children left behind, and other CPD cases.

Various child seat models

Diverse child & baby characters

Customizable child seat placement

Head, body, and posture variation

RGB-IR sensor and camera configuration

Manufacturers are developing interior systems with different sensor placements depending on whether they monitor the driver, the occupants, or all of them at the same time.

Anyverse INCABIN performs physically-based sensor simulation to accurately model any RGB/IR and iToF sensors. The platform allows cameras to be incorporated in the most common locations such as the rearview mirror, center stack, or any other configuration required for specific vehicles, including multiple cameras simultaneously.

RGB/IR and iToF sensors

Custom camera placement

Multiple cameras

Physically-based sensor simulation

DMS Event – Driver Yawning (Physics-Based NIR Simulation) 2
DMS Event – Driver Yawning (Physics-Based NIR Simulation)
RGB Fisheye image and Radar simulation sample

Radar sensor simulation

Anyverse’s radar simulation, built on the proven Shooting and Bouncing Rays (SBR) technique, elevates radar modeling by precisely simulating FMCW waveforms, MIMO systems, and real-world signal interactions. It delivers high-resolution range, Doppler, azimuth, and elevation maps, ensuring outstanding spatial precision and accurate target identification.

With fully customizable radar parameters, GPU-accelerated processing, and support for exporting radar cube maps and point clouds, Anyverse’s radar simulation is an ideal solution for generating high-quality validation data.

Created with Fabric.js 5.2.4

Frequency modulated signal - FMCW

Multiple antennas - MIMO

Accurate materials characterization

Created with Fabric.js 5.2.4

Radar cube map and point cloud outputs

Activity and object detection

Assessment Programs and Consumer Tests focus not only on drowsiness or driving distraction detection but also on driver and occupant operating status.

Anyverse INCABIN helps you detect any interaction of the driver or occupants with each other or with objects, such as handling a phone or other devices, drinking, and other distractions that may compromise safety.

Pixel-perfect labels

Virtual ground truth

Diversity of behaviors and interactions

Extensive object library

Occupant Activity & Object Interaction – Driver Handling Cell Phone with Pet on Front Passenger Seat (RGB Sensor) - Anyverse InCabin Generated
Occupant Activity & Object Interaction – Driver Handling Cell Phone with Pet on Front Passenger Seat
Correct (1) and incorrect fitted (2&3) seat belt detection

Seat belt detection

Under the Active Safety guidelines for assisted and automated driving, in-cabin monitoring systems need to recognize and warn of improper or non-use of the seat belt.

Anyverse INCABIN enables manufacturers to generate datasets to detect seat belt use under any circumstance regardless of the vehicle model, driver or occupants, child seat, visual occlusions, or any other variable that may interfere.

Seat belt force limiters

Incorrectly fitted seat belt detection

Specific cabin and seat belt models

Child seat harnesses

Surroundings interaction and detection

European protection of vulnerable road users and other regulations require driver monitoring systems to enhance traffic safety standards not only for vehicle passengers, but pedestrians as well.

Manufacturers don’t have to rely on manually labeled real-world datasets or poor-quality simulators. Leveraging Anyverse’s advanced eye gaze estimation and rendering technology, in-cabin systems can accurately detect visual interaction between pedestrian and driver, pedestrian detection in vehicle’s trajectory, and intrusion or unauthorized drivers.

Driver-pedestrian interaction

Accurate gaze estimation

Intrusion and theft detection

Multiple outdoor scenarios

DMS Event – Prolonged Driver Distraction Toward Passenger-Side Window (NIR Sensor)
DMS Event – Prolonged Driver Distraction Toward Passenger-Side Window (NIR Sensor)

Get started with Anyverse INCABIN.
The virtual validation data platform for in-cabin monitoring

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Explore our end-to-end synthetic data workflow, from initial sensor configuration to seamless pipeline integration