RoadSense combines advanced radar sensing, cloud computing, and AI driven analytics to deliver real-time insights for public space monitoring. Our technology empowers cities and security agencies to respond proactively to dynamic scenarios.
Edge Sensor Layer
High-Fidelity Capture
The foundation begins with our custom mmWave radar hardware. Unlike cameras, our sensors perceive the world as high-density 3D point clouds. By performing Edge AI processing directly on the device, we filter out noise and classify objects at the source. This ensures that only anonymous, metadata-level information ever leaves the sensor.
Privacy-by-design, all-weather reliability, and sub-centimeter resolution.
Secure Cloud Gateway
Encrypted Data Orchestration
Our cloud infrastructure acts as the secure backbone for global device management. Using low-latency 5G/LTE connectivity, the gateway aggregates metadata from distributed sensor networks. It handles over-the-air (OTA) firmware updates, sensor health monitoring, and ensures that data remains encrypted and sovereign throughout its entire lifecycle.
Scalable device telemetry, multi-region hosting, and end-to-end encryption.
Deep Analytics Engine
Cognitive Intelligence
This is where raw data becomes strategic foresight. Our deep learning models perform Micro-Doppler signature analysis to recognize complex movement patterns over time. By correlating historical trends with real-time events, the engine generates predictive modeling, automated reporting, and API-ready insights for third-party integrations.
Pattern recognition, predictive trendlines, and automated decision-support.
From pedestrian safety to early warning intrusion alert
Privacy-first anonymised data
On any existing infrastructure
Working under any weather, day and night
To let you know immediately