
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.

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.

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.

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.

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.

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 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


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


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.
Frequency modulated signal - FMCW
Multiple antennas - MIMO
Accurate materials characterization
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


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
