Khoa_Luan_Tot_Nghiep_Tro_Ly_Ao_SuSu

Embedded Automotive Diagnostic System (SuSu)

Graduation Project: Embedded automotive diagnostic platform using OBD-II protocol, real-time telemetry via MQTT, and edge computing on Jetson Nano.

System Architecture

Vehicle ECU
→ OBD-II Interface
→ Jetson Nano (Edge Processing Layer)
→ MQTT Broker
→ Diagnostic GUI / Node-RED Dashboard

Key Features

• OBD-II Mode 01: Real-time live data acquisition
• Mode 03: Stored DTC reading
• Mode 07: Pending DTC detection
• Mode 02: Freeze frame capture
• Mode 09: Vehicle info (VIN/ECU)
• MQTT telemetry streaming (OBD, DTC, GPS, status)
• Real/Mock OBD switching for simulation
• Edge deployment on Jetson Nano

Tech Stack

• Python, Tkinter
• OBD-II (python-obd)
• MQTT (paho-mqtt)
• Jetson Nano
• Speech Recognition

📘 Graduation Thesis

• 📄 Download Full Thesis Report (PDF)

Node-RED Flow

• Download Node-RED flow (JSON)

Demo

Node-RED Flow

Node-RED Dashboard

Vehicle Diagnostic Interface

Vehicle Diagnostic Interface

Realistic Assembly Model

Algorithmic Flow Chart

System Block Diagram

General Block Diagram