IOT: Designing the Arduino Part of the Face Recognition System

After finalizing the Stock Analyzer project, installing Solar Panels to my house and exploring Quantum Computers, I will continue with my IOT project. 

I am currently able to detect a face using OpenCV on a laptop. The next step will be to migrate that functionality to a headless Raspberry PI that is connected to an Arduino. In this blog post, I will design the Arduino board.

The person in the picture is more similar to James Dean than to Marlon Brando and Audrey Hepburn.
 Training data is very limited, with only 20 pictures of three celebrities, and that causes the identifier to perform poorly. 

The Arduino Panel

When a user is pressing a button on Arduino, the RPI will take pictures every x seconds. It will try to identify the faces on the last picture. If a face is identified, it will send the corresponding name back to the Arduino. The names will show on the LCD and corresponding LED's will activate. If faces are detected but not identified, an alarm will activate. 

The Piezo element and the red LED to the left are used for alarms.
The button sends a start/stop signal to the connected Raspberry PI computer.
The four LEDs to the right identifies four persons. 

There are three cases:

• No face is detected on the last picture
• At least one familiar faces - disable the alarm, if active.
• No familiar faces - start an alarm.