THE ARCHITECTURE

TECHNOLOGY
STACK

Purpose-built for the extreme conditions of Indian roads. From the sub-zero Himalayas to 50°C summers, our Edge AI processes millions of pixels in milliseconds, entirely offline.

100MS Latency
95%+Vision Accuracy
10HzTelemetry Sync
Explore The Stack ↓
Video Stream IN
Telemetry OUT
YOLOv8 Inference
🧠

AI & Computer Vision

Off-the-shelf AI models fail on Indian roads due to unstructured traffic, unique vehicle types, and erratic lane markings. We built our own.

Core Architecture Custom YOLOv8
Training Dataset 3M+ Images
Detection Accuracy 95.4%
Edge Inference Speed < 100ms
⚡

Edge Computing

Heavy vehicles traverse areas with zero cellular connectivity. Our processing happens directly on the vehicle, ensuring safety alerts never lag.

Processor Unit ARM NPU
Thermal Rating -10°C to +70°C
Internet Dependency ZERO
System Updates Secure OTA
📡

IoT Sensor Integration

Vision alone isn't enough. We fuse optical data with inertial, spatial, and location sensors to build a 360-degree, millisecond-accurate physical model of the vehicle's state and surroundings.

Optical Array 8-Camera 360°
Spatial Awareness Ultrasonic Radar
Location Tracking Dual-Band GPS
Behavioral Physics 6-Axis IMU
POST /api/v1/telemetry/stream { "vehicle_id": "KA-01-HP-8492", "timestamp": "2026-03-28T11:45:23Z", "encryption": "AES-256-GCM", "payload": { "event": "HARSH_BRAKE", "severity": 0.87, "speed_kph": 65, "gps_lock": true } }
🔒

Secure Data Pipeline

When the vehicle connects to a network, event payloads are synced instantly. Designed for enterprise fleet management systems with zero data leakage.

  • ✦ 10Hz Real-Time Telemetry Streaming
  • ✦ End-to-End AES-256 Encryption
  • ✦ REST API & Developer Webhooks