Quick Takeaways
- Seeing Machines 3D Cabin Perception Mapping delivers a full, real-time digital model of a vehicle’s interior, enabling automakers to manage safety, comfort, and compliance across every seating row.
- This CES 2026 debut highlights how one unified perception layer can monitor all occupants and objects inside the cabin with high precision.
On January 13, Seeing Machines unveiled its next-generation Seeing Machines 3D Cabin Perception Mapping platform at CES 2026, introducing a system that creates a live digital reconstruction of the entire vehicle cabin. The solution is engineered to handle multiple cameras, multiple passengers, and diverse in-cabin features through a single, highly reliable perception layer.
This new platform is designed to give automakers a complete and consistent understanding of everything happening inside the vehicle. By unifying data from all cameras into one trusted digital model, it simplifies how safety, comfort, and automation features are built and deployed.
How Seeing Machines 3D Cabin Perception Mapping Works
The core of Seeing Machines 3D Cabin Perception Mapping is an advanced abstraction architecture that separates application development from the complexity of camera hardware and raw sensor inputs. This allows OEMs and suppliers to create and update in-cabin features without re-engineering the sensing stack.
The system uses three cameras positioned to cover three rows of seating, supporting up to seven occupants. From this setup, the platform continuously generates:
This deep level of cabin intelligence gives vehicle systems the context they need to respond accurately to real-world seating and movement conditions.
Advanced Occupant and Seat Monitoring
Seeing Machines 3D Cabin Perception Mapping goes beyond simple detection by understanding how people are positioned in the vehicle. It can identify when an occupant is out of position, including scenarios such as reclining too far, placing feet on the dashboard, or sitting close to an airbag zone.
At the same time, the platform analyzes seat configuration in detail, tracking:
This allows safety systems and advanced driver assistance systems to adapt to how every seat is actually being used at any moment.
Child Seats and Object Awareness
The platform also extends its perception across the entire cabin to recognize child seats, helping manufacturers meet evolving safety and regulatory requirements. In addition, it detects everyday objects that can affect safety and comfort.
These include items such as:
Seeing Machines 3D Cabin Perception Mapping brings all of these capabilities together in a single, scalable system that gives automakers a richer and more reliable view of the cabin than ever before. As vehicles move toward higher levels of automation and personalization, this type of in-cabin intelligence is becoming a critical building block for next-generation mobility.
This new platform is designed to give automakers a complete and consistent understanding of everything happening inside the vehicle. By unifying data from all cameras into one trusted digital model, it simplifies how safety, comfort, and automation features are built and deployed.
How Seeing Machines 3D Cabin Perception Mapping Works
The core of Seeing Machines 3D Cabin Perception Mapping is an advanced abstraction architecture that separates application development from the complexity of camera hardware and raw sensor inputs. This allows OEMs and suppliers to create and update in-cabin features without re-engineering the sensing stack.
The system uses three cameras positioned to cover three rows of seating, supporting up to seven occupants. From this setup, the platform continuously generates:
- Body size and body shape estimates
- Full 3D pose tracking for every occupant
- Height and weight classification across all seats
This deep level of cabin intelligence gives vehicle systems the context they need to respond accurately to real-world seating and movement conditions.
Advanced Occupant and Seat Monitoring
Seeing Machines 3D Cabin Perception Mapping goes beyond simple detection by understanding how people are positioned in the vehicle. It can identify when an occupant is out of position, including scenarios such as reclining too far, placing feet on the dashboard, or sitting close to an airbag zone.
At the same time, the platform analyzes seat configuration in detail, tracking:
- Headrest availability
- Seat position and distance
- Recline angle of each seat
This allows safety systems and advanced driver assistance systems to adapt to how every seat is actually being used at any moment.
Child Seats and Object Awareness
The platform also extends its perception across the entire cabin to recognize child seats, helping manufacturers meet evolving safety and regulatory requirements. In addition, it detects everyday objects that can affect safety and comfort.
These include items such as:
- Mobile phones
- Handbags or backpacks
- Boxes and other loose cargo
Seeing Machines 3D Cabin Perception Mapping brings all of these capabilities together in a single, scalable system that gives automakers a richer and more reliable view of the cabin than ever before. As vehicles move toward higher levels of automation and personalization, this type of in-cabin intelligence is becoming a critical building block for next-generation mobility.
Company Press Release
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