Project Hub /Automotive EV & Transportation/Telematics & OBD-II/iN-Car Drowsiness Detection and Alert System with CAN Bus Integration
iN-Car Drowsiness Detection and Alert System with CAN Bus Integration
Advanced
ESP32
₹5,000 – ₹15,000
6 – 12 Hours
Partial Kit

iN-Car Drowsiness Detection and Alert System with CAN Bus Integration

An intelligent in-car drowsiness detection and alert system that monitors driver eye status using edge AI and communicates alerts via a CAN bus interface.

Originally published on CircuitDigest
View original tutorial
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Parts You'll Need

This project is sourced from another site, not written by us — this list is our best match of their components against what we stock, not a verified bill of materials. Always check the original blog (linked above) for the actual parts list before buying.

We don't carry yet: Prototype Kit / Sensor Kit / Starter Kit
Passive Components (generic)
Voltage Regulator IC (7805 / LM317 / 1117)

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How It Works

Why Build This

Gain hands-on experience integrating edge AI vision boards with microcontrollers for real-time computer vision applications.
Learn how to interface automotive microcontrollers with an MCP2515 module to read and write messages on a vehicle's CAN bus network.
Design robust, power-regulated embedded systems suitable for deployment in real-world automotive safety and telematics environments.

Real-World Application

Automotive driver monitoring systems (DMS), commercial fleet safety management, and semi-autonomous vehicle intervention systems.

Skills You'll Learn

Edge AI deployment
CAN bus communication
microcontroller serial interfacing
power regulation design
computer vision integration
sensor-actuator system coordination

Safety Precautions

Ensure proper electrical integration with the vehicle's power supply using appropriate voltage regulation and fuses. Do not allow the system components to obstruct the driver's field of view or interfere with critical vehicle controls.

Technology Tags

COMPUTER VISION
EDGE AI
CAN BUS
IOT
IMAGE SENSORS
EMBEDDED SYSTEMS

Frequently Asked Questions

The vision algorithm and processing boards are typically optimized for specific USB or compatible camera modules like the C270 to ensure reliable frame rates and low-latency eye detection.
The Maixduino handles the intensive edge-AI computer vision tasks required for real-time eye tracking, while the ESP32 manages general system control, local alerts, and CAN bus communication.
The MCP2515 module acts as a CAN controller that interfaces the ESP32 via SPI to the physical CAN transceiver, allowing connection to the vehicle's CAN-High and CAN-Low data lines.

Gallery

This page is part of Kitkraft's Project Hub — a curated collection of electronics & robotics projects gathered from the maker community to help students and hobbyists discover and learn to build. Kitkraft does not claim authorship of the original project, and makes no representation as to the accuracy, completeness or safety of third-party source material. The summary and "How It Works" explanation above are AI-generated, rewritten with reference to the original tutorial — not a reproduction of it. Full credit and a direct link to the original source are provided above. If you're the original creator and have a concern about how your work is represented here, please contact us and we'll address it promptly.

Kitkraft Project Hub — curated from the maker community, credited at the source.
PRJ-01117