Embedded Systems · Edge Sensing

Real-Time Drowsiness Monitor

Integrates PPG and EAR vision across a two-node Raspberry Pi sensing/analysis architecture with TCP/IP and GPIO/I²C alarm paths.

Source code and physical prototype

⌘ Repository ↗ Project Page

Problem

The project acquires and analyzes PPG and camera-based EAR signals across two Raspberry Pi nodes and integrates the resulting alarm path.

Architecture

A PPG sensing node and an image/EAR analysis node communicate through TCP/IP and file IPC, with GPIO/I²C driving LCD and alarm outputs.

Hardware and Software

Raspberry Pi
C/C++
OpenCV
TCP/IP
GPIO
I²C
LCD

Data Flow

PPG/camera sensing → per-node preprocessing → network/file IPC → fatigue-decision path → LCD/alarm output.

Methodology

Integrated PPG-server and image/EAR-processing modules
Documented two-node communication and state transfer
Documented the LCD/alarm interfaces and prototype wiring

Results

Two-node architecture implemented in the C/C++ source
Data and alarm paths connected through TCP/IP, GPIO, and I²C
LCD and sensor wiring shown in the original prototype photographs

01Problem

The project acquires and analyzes PPG and camera-based EAR signals across two Raspberry Pi nodes and integrates the result...

02Architecture

A PPG sensing node and an image/EAR analysis node communicate through TCP/IP and file IPC, with GPIO/I²C driving LCD and a...

03Method

Integrated PPG-server and image/EAR-processing modules

04Result

Two-node architecture implemented in the C/C++ source

A compact problem-to-result map generated from the project data used on this page.

Architecture and result views

Contact sheet of the Raspberry Pi drowsiness-monitoring prototype, LCD, sensor wiring, and source views — Contact sheet of the prototype, LCD, sensor wiring, and source views

What I worked on

PPG server and image/EAR processing
Two-node file IPC and network architecture
Documentation of the LCD and alarm integration path

Code and results

C/C++ source and architecture documentation
Circuit, LCD, and prototype photographs
TCP/IP, GPIO, and I²C data and alarm paths

Next steps

Next, I plan to measure latency, sensitivity, specificity, and false-alarm rate under one consistent test setup.

Project resources

Repository Project Pages

Prototype photographs show that the integration path existed, but they do not substitute for accuracy, latency, sensitivity, or false-alarm measurements.