Create New Mobility Experiences 
Human Centric

Smart Mobility

Next generation mobility requires AI, from self-driving cars to new ways to engage customers. Build and deploy robust AI-powered interior monitoring systems. The NVISO Human Behaviour SDK includes building blocks and tools that accelerate in-cabin monitoring developments that require the increased perception and interaction features enabled by AI including gaze and eye state tracking, body tracking, and activity and gesture recognition.

Driver Monitoring System (DMS)

A key feature expected to become a standard feature in new cars as a result of regulatory and rating agency requirements Euro NCAP 2025 Roadmap. Advanced driver monitoring systems (DMS) can detect distracted and drowsy drivers by accurately measuring eye and head position, attention, and fatigue. The DMS alerts the driver and integrated safety systems upon detection of a risk such as drowsiness or distraction. This feedback enables the driver and vehicle to take action before safety is compromised.

Interior Monitoring System(IMS)

It is not only the driver who is the focus of attention. The camera is positioned in such a way that all seats are in its field of vision. The system can detect the presence of any other occupant, front passengers, and can thus deactivate the airbag if, for instance, a child safety seat is present. IMS uses machine learning to enable in-vehicle systems to sense their occupants’ emotional states and gestures to provide personalized experiences in the transition to automated driving.



Performance That Scales
Any Sensor, Any Placement

The interior of a vehicle is an unpredictable environment. Typical constraints range from driving environmental unpredictability to drastic changes in ambient temperature. These factors drive the need for systems to include sufficient algorithms capable of handling tough environmental conditions and choice of camera placement is critical to enable the robust operation of AI systems. Another factor that adds to the system complexity is accommodating the cosmetic design of the vehicle. Automotive designers constantly try to introduce new design concepts while also maximizing driver comfort features. These constraints require the position and location of the camera to often change. NVISO addresses these challenges through supporting flexible camera positioning anywhere between the A-pillar and the center stack which is critical to large scale adoption.


Multi-party AI Systems Development
Integration Ready

EMBEDDING TOOLS

EMBEDDING TOOLS

Supporting prototype platforms (Intel) to production platforms from centralized computing (NVIDIA), multimedia computing (Qualcomm), to close-to-sensor computing (Arm A5x, A7x + NPU Accelerators).

SIMULATION TOOLS<

SIMULATION TOOLS

Camera sensor type and location play a critical role in system performance. 3D simulation tools provide a fast and effective design and verification platform.

MACHINE LEARNING TOOLS

MACHINE LEARNING TOOLS

Data driven software development require automated data tools to enable full cycle development of AI systems cost effectively.



Unmatched Embedding Performance
Low-Power ARM Cortex CPUs

Looking for an SDK?

Human Behaviour AI SDK




Automotive Partners

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