Perception
Computer vision provides raw observations of visual signals such as eyes, blinking, gaze and head orientation. Perception is treated as one layer, so sensing approaches and hardware can evolve without redefining the rest of the platform.
Observability and measurement
Measurements need context, quality and confidence. The architecture lets downstream reasoning distinguish strong evidence from uncertain, incomplete or degraded signals.
Temporal analysis
Human state evolves over time. GUARA reasons about persistence, transitions and recovery rather than treating every frame as an independent decision.
Local processing
Analysis runs on the device. This reduces the need to transmit video, keeps critical detection working with limited or no connectivity, and supports privacy-oriented, compliance-conscious architectures.
Hardware profiles
The current reference implementation, GUARA Professional, runs on Raspberry Pi-class embedded hardware. An Android implementation has been demonstrated in closed testing. Higher-performance Edge platforms, such as NVIDIA Jetson-class devices, are under evaluation. None of these profiles defines GUARA: they are environments where the same intelligence runs.
Modular software evolution
GUARA is evolving from its first embedded implementation toward a more modular software architecture, with greater hardware decoupling and integration tooling for third parties. This work is in development; compatibility with a specific infrastructure is confirmed through a technical assessment.
Talk to us about your architecture
Already operating cameras, Edge hardware or a software platform? Let’s evaluate how GUARA capabilities could work with it.