Seeing Machines Unveils 3D Cabin Mapping Platform Supporting Up to Seven Occupants

SEEMFSEEMF

Seeing Machines unveiled its next-generation 3D Cabin Perception Mapping platform at CES 2026 with support for multiple cameras, up to seven occupants and real-time cabin reconstruction. A unified 3D perception layer decouples feature development from hardware setups, cutting development costs and time-to-market while enabling applications in robotics and human-machine environments.

1. Major Technology Unveiling at CES 2026

Seeing Machines Ltd unveiled its next-generation 3D Cabin Perception Mapping platform at CES 2026 in Las Vegas, marking the first live demonstration of a real-time, in-cabin digital reconstruction system. The platform integrates data from up to three cameras covering three rows of seating, delivering full 3D pose solutions for as many as seven occupants simultaneously. Demonstrations included body size and shape classification, height and weight estimates, out-of-position detection (such as feet on dash and near-airbag scenarios), seat configuration recognition and random object detection (including phones, bags and boxes). This comprehensive showcase underlines the company’s leadership in vision-based safety technology and provides tangible proof of concept for OEMs and Tier 1 suppliers evaluating next-generation occupant monitoring systems.

2. Clean-Sheet Architecture Drives Scalability and Cost Efficiency

The new platform is built on a clean-sheet architecture that decouples feature development from camera configurations and raw sensing implementations. Instead of creating isolated, feature-specific pipelines, Seeing Machines’ unified 3D perception layer processes the entire cabin environment in a single pass, ensuring consistent accuracy even with intermittent or noisy sensor data. This approach reduces software development effort by up to 40%, according to internal estimates, and shortens time to market by enabling features to be built once and deployed across multiple product configurations. John Noble, CTO of Seeing Machines, highlighted that customers can now evolve individual feature roadmaps without incurring additional integration costs, positioning the company to capture growing demand for advanced driver and occupant monitoring systems (DMS/OMS).

3. Expanding Addressable Markets Beyond Automotive

While the initial focus remains on automotive OEMs and commercial fleets, Seeing Machines is positioning its 3D Cabin Perception Mapping platform for broader applications in robotics and human-robot interaction environments. The architecture’s support for mix-and-match 3D technologies offers deployment flexibility as sensor hardware evolves, opening opportunities in industrial automation, telepresence, elder care and beyond. The company’s global footprint—with offices in Australia, the USA, Europe and Asia—combined with existing partnerships in aviation and off-road markets, provides a springboard for cross-industry adoption. Analysts note that capturing even 5% of adjacent non-automotive markets could add 15% to Seeing Machines’ annual recurring revenue over the next three years.

Sources

PP