Driver Monitoring Systems (DMS)

This category covers the embedded computing hardware that runs driver monitoring workloads at the edge. Products include ruggedised in-vehicle computers, system-on-module platforms and AI inference accelerators qualified for automotive and commercial vehicle environments. They provide the processing capacity for camera input, algorithm execution and real-time alerting within a DMS deployment.

This category covers the algorithms, software platforms and integrated systems that identify when a driver is fatigued, inattentive or engaged in a secondary task. Detection methods include eyelid analysis, head movement tracking and behavioural pattern recognition, with outputs ranging from in-cabin alerts to fleet-level reporting. Products serve OEMs, Tier 1 suppliers and commercial fleet operators.

This category covers the sensors and software that determine where a driver is looking and whether their eyes are open. Products include near-infrared camera systems, gaze estimation algorithms and eye-tracking software stacks designed for integration into passenger vehicles and commercial transport platforms. They are used both as standalone safety features and as inputs to broader driver monitoring and ADAS systems.

This category covers the computer vision software and sensor systems that determine the orientation and position of a driver's head. Outputs are used to infer attentiveness and gaze direction, and feed into broader driver monitoring and ADAS pipelines. Products are designed for embedded deployment in production vehicles and are typically supplied to OEMs and Tier 1 automotive integrators.