Advanced Rider Assistance System
Edge AISensor FusionCameraRadarVehicle DataReal-Time PerceptionBehavioural AnalysisRisk Assessment
Platform
One integration. Every vehicle program.
A cohesive stack from silicon to safety case — designed to slot into existing OEM and Tier-1 workflows.
Capabilities
Everything you need. Nothing you don't.
On-device inference
All safety-critical models run locally; the cloud is optional.
Signed & encrypted OTA
Model + firmware bundles are cryptographically verified end-to-end.
Deterministic bus IO
CAN-FD, Ethernet, and LVDS with bounded latency budgets.
Sensor abstraction
Drop-in support for stereo, mono, imaging radar, and thermal.
Telemetry & fleet ops
Optional aggregated metrics — no rider PII leaves the vehicle.
Safety case tooling
Traceability from requirement to scenario to signed artifact.
SDK
A thin, typed interface — nothing hidden.
Connect to a device, subscribe to perception events, and stream telemetry with a few lines of TypeScript.
automata-sdk / rider.tsTypeScript
import { RiderSession } from "@automata/sdk";
const session = await RiderSession.connect({
device: "automata-edge-01",
scopes: ["perception.events", "telemetry.aggregate"],
});
session.on("collision.warning", (evt) => {
// evt.ttc: number (seconds)
// evt.confidence: number (0..1)
// evt.object: { class, bearing, closingSpeed }
console.log(`TTC ${evt.ttc.toFixed(2)}s · ${evt.object.class}`);
});ARAS · Gap & solution architecture
Rider safety needs its own physics engine.
Traditional automotive ADAS is designed for four-wheel vehicles in structured environments. Our ARAS platform introduces physics-aware AI, Digital Twin technology, and NVIDIA-powered edge intelligence engineered for two-wheelers.
Physics-aware AI
Lean angle, speed, and traction-aware perception tuned for motorcycles.
Digital Twin
Validate every safety scenario in simulation before it hits the road.
NVIDIA Edge AI
Orin-class inference running locally with deterministic latency budgets.
Engineering work
Systems we have built and broken.
Automotive CAN Security
CANAutomotive CybersecurityPhysical-Layer SecurityEmbedded Security
Hardware Security / Smart Lock
Hardware Reverse EngineeringPCB AnalysisAttack Surface AnalysisElectromagnetic Fault Injection
Wireless PHY / FPGA Engineering
FPGARTLDSPMATLABFixed-Point ModellingHardware Prototyping
Vehicle Fingerprinting
Machine LearningSignal ProcessingVehicle IdentificationIntelligent Transportation
AI-Based Hardware Trojan Detection
AIGraph Neural NetworksHardware SecuritySemiconductor Security