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Level ELD / ADAS
An advanced fleet monitoring solution for the US logistics market, integrating Advanced Driver Assistance Systems (ADAS) and Driver Monitoring Systems (DMS) via CAN-bus hardware.
IoTTelematicsAutomotive
L
Hardware
PT-40 / IOSiX
Connectivity
4G / Satellite
Safety Score
AI-Driven
System
Architecture
For the Level ELD / ADAS project, we developed a fault-tolerant architecture based on Java 21, optimized for high-load conditions.
- ▹ Real-time driver fatigue and distraction detection using DMS cameras.
- ▹ Instant lane departure and collision warnings (ADAS) via CAN-bus alerts.
- ▹ High-precision fuel consumption monitoring and mileage tracking.
- ▹ Automated IFTA reporting and ELD compliance for US trucking regulations.
Core Stack v2.1
hardwareCAN-bus J1939, RS232
backendJava, MQTT, Spring Boot, Redis
frontendNuxt 4, Mapbox GL, Google Maps API
integrationIOSiX API, Geofencing
The Challenge
Low Latency Data
The challenge was to process high-frequency CAN-bus data packets from thousands of trucks without overwhelming the server infrastructure.
The Solution
MQTT & TimescaleDB
We implemented a lightweight MQTT broker for data ingestion and used TimescaleDB for efficient time-series storage of telemetry.