AI Lamp: Using AI in Arduino

This project demonstrates how to build a smart lamp that uses AI to automatically adjust brightness based on surroundings. It runs a simple AI model directly on an Arduino microcontroller.

Understanding AI Basics

Input

AI takes in observations or data as input.

Processing

The AI "brain" is a mathematical formula that processes the input.

Output

AI generates an action or prediction as output.

Building the Lamp

1

Cut Materials

Use the provided template to cut black and white card paper pieces.

2

Assemble Shade

Glue the cut pieces to form the lampshade.

3

Attach LED

Solder wires to a small LED and secure it inside the shade.

4

Connect Base

Attach the shade to the base with strong adhesive.

Preparing to Collect Data

1

Circuit Setup

Build the circuit with Arduino, LED, LDR, potentiometer and push button.

2

Code Upload

Upload the provided Arduino code for data collection.

3

LDR Placement

Position the LDR to measure ambient light, not the LED's output.

Collecting the Dataset

Move Lamp

Place the lamp in different locations with varying light levels.

Adjust Brightness

Set preferred LED brightness using the potentiometer.

Record Data

Press the button to log LDR reading and LED brightness.

Repeat

Collect 20-50 data points throughout the day.

Training the AI Model

Data Preparation

Export collected data to a CSV file.

Python Setup

Install required libraries: scikit-learn and pandas.

Model Training

Use linear regression to find the relationship between LDR and LED values.

Implementing AI in Arduino

Step

Action

1

Obtain w and b values from trained model

2

Insert values into new Arduino code

3

Remove data collection components

4

Upload final code to Arduino

Final Assembly and Applications

Smart Lighting

Lamp adjusts brightness automatically based on surroundings.

Weather Prediction

Apply similar techniques to create a weather prediction system.

Sign Language Translation

Train AI to recognize and translate sign language gestures.