Mahindra Electric SUVs adopt indie Semiconductor driver monitoring software

On February 4, 2026, indie Semiconductor announced that it has been selected by Mahindra & Mahindra Limited to supply driver and occupant monitoring systems software for Mahindra’s Electric Origin SUVs, the XEV 9e and BE 6. The decision highlights Mahindra’s focus on advanced in-cabin safety technologies as it expands its electric vehicle portfolio.
The engagement centers on the deployment of driver and occupant monitoring systems software developed under indie’s CABIN EYE perception stack. This software originated from emotion3D and was later acquired by indie, strengthening its automotive vision and sensing capabilities for next-generation vehicles.

Integration of CABIN EYE with Mahindra’s in-cabin platform

Mahindra will integrate the CABIN EYE perception software with EyeDentity, its proprietary camera-based in-cabin hardware platform. This combination is designed to deliver comprehensive monitoring of drivers and occupants, supporting safety, comfort, and awareness functions within the vehicle cabin.

Exceeding regulatory and safety assessment requirements

Mahindra is adding DOMS functionality powered by CABIN EYE to these electric SUVs, going beyond current Indian regulatory mandates and Bharat-NCAP test protocols. The approach underlines the company’s intent to future-proof its vehicles against evolving safety expectations and assessment standards.

Scalable software-defined vehicle approach

The implementation leverages Mahindra’s software-defined vehicle architecture, allowing over-the-air updates for DOMS-related safety and comfort features supplied by indie. This enables continuous improvement of monitoring capabilities throughout the vehicle lifecycle without hardware changes. The DOMS perception software is expected to deliver high accuracy and low latency while maintaining low embedded processing requirements, supporting large-scale deployment across vehicle platforms. Indie describes CABIN EYE as reducing per-vehicle optimization efforts due to limited sensitivity to camera positioning, sensor choice, and specific DOMS use cases, making it well suited for volume electric vehicle programs.