MohammadReza Sharifi
Published © MIT

Smart RGB Light Bulb based on AI and Emotion Detection

In this tutorial we make a Smart RGB Light Bulb Based on image processing and Emotion Detection using Raspberry Pi Pico W microcontroller.

IntermediateWork in progress5 hours342
Smart RGB Light Bulb based on AI and Emotion Detection

Things used in this project

Story

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Schematics

circuit diagram

for making this RGB Light Bulb I used a neopixel RGB LED and Raspberry Pico W.

fritzing file

Code

micropython script on raspberry pi pico w

MicroPython
run this script on microcontroller
import socket
import network
from time import sleep
import machine
from machine import Pin
import neopixel

ssid = 'mrsh77'
password = '1m77n2299215r77#'


def connect():
    #Connect to WLAN
    wlan = network.WLAN(network.STA_IF)
    wlan.active(True)
    wlan.connect(ssid, password)
    while wlan.isconnected() == False:
        print('Waiting for connection...')
        sleep(1)
    ip = wlan.ifconfig()[0]
    print(f'Connected on {ip}')
    return ip

def open_socket(ip):
    address = (ip,80)
    connection = socket.socket()
    connection.bind(address)
    connection.listen(1)
    #print(connection)
    return connection


neopixel_pin = Pin(0)
led_num = 8
brightness = 0.2  # Adjust the brightness (0.0 - 1.0)

rgb_ring = neopixel.NeoPixel(neopixel_pin, led_num)


def brightnessfcn(color):
    r, g, b= color
    
    r = int(r * brightness)
    g = int(g * brightness)
    b = int(b * brightness)
    return (r,g,b)


try:
    ip = connect()
    connection = open_socket(ip)
    while True:
        # Accept a connection from a client
        client, addr = connection.accept()
        print(f'Connected to {addr}')
        while True:
            # Receive data from the client
            data = client.recv(1024)
            if data:
                # Print the data to the console
                print(data)
                if data == b'sad':
                    lamp_color = (255,255,255)
                    final_color = brightnessfcn(lamp_color)
                    
                    rgb_ring.fill(final_color)
                    rgb_ring.write()
                    
                elif data == b'fear':
                    lamp_color = (128,0,128)
                    final_color = brightnessfcn(lamp_color)
                    
                    rgb_ring.fill(final_color)
                    rgb_ring.write()
                
                elif data == b'angry':
                    lamp_color = (0,0,255)
                    final_color = brightnessfcn(lamp_color)
                    
                    rgb_ring.fill(final_color)
                    rgb_ring.write()
                elif data == b'happy':
                    lamp_color = (255,165,0)
                    final_color = brightnessfcn(lamp_color)
                    
                    rgb_ring.fill(final_color)
                    rgb_ring.write()
                    
                elif data == b'neutral':
                    lamp_color = (255,255,255)
                    final_color = brightnessfcn(lamp_color)
                    
                    rgb_ring.fill(final_color)
                    rgb_ring.write()
                    
                # Send a response back to the client
                client.send(b'OK')
            else:
                # Break the loop if no data is received
                break
        # Close the client socket
        client.close()
except KeyboardInterrupt:
    # Close the server socket
    connection.close()
    machine.reset()

python script that runs on computer

Python
this script detects emotions using opencv and deepface and sending commands to raspberry pi pico w using socket programming
import socket
import cv2
from deepface import DeepFace
from time import sleep

cap = cv2.VideoCapture("faces8s.avi")

def showResults(feed):
    output = feed[0]
    outputList = list(output.items())
    #print(type(outputList))
    #print(outputList[1])
    dominantEmotion, detectedEmotion = outputList[1]
    #print(detectedEmotion)
    #sleep(2)
    return detectedEmotion


# Create a TCP socket
s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)

# Specify the IP address and port number of your Raspberry Pi Pico W
# You can use the ipconfig or ifconfig command to find out the IP address of your device
ip = '192.168.0.103' # Change this to your Raspberry Pi Pico W IP address
port = 80 # Change this to your Raspberry Pi Pico W port number

# Connect to the server socket
s.connect((ip, port))

# Start a while loop
while True:
    
    ret , vid = cap.read()
    
    results = DeepFace.analyze(vid,actions=("emotion"),enforce_detection=False)
    
    emotion = showResults(results)
    
    #print(emotion)
    cv2.putText(vid,emotion, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (80, 70, 255), 2, cv2.LINE_4)
        

    cv2.imshow("video",vid)
    
    k = cv2.waitKey(1) & 0xFF
           
    data = emotion
    # Encode the data as bytes
    data = data.encode()
    # Send the data to the server
    s.send(data)
    # Receive a response from the server
    response = s.recv(1024)
    print(response)
    # Check if the user wants to stop the loop
    
    if k == 27:
        break

# Close the socket
s.close()
cv2.destroyAllWindows()

emotion detection using opencv python and deepface

Python
this script detects person emotions in a video
import cv2
from deepface import DeepFace
from time import sleep

cap = cv2.VideoCapture("faces8s.avi")

def showResults(feed):
    output = feed[0]
    outputList = list(output.items())
    #print(type(outputList))
    #print(outputList[1])
    dominantEmotion, detectedEmotion = outputList[1]
    #print(detectedEmotion)
    #sleep(2)
    return detectedEmotion
    
    
while True:
    ret , vid = cap.read()
    
    results = DeepFace.analyze(vid,actions=("emotion"),enforce_detection=False)
    
    emotion = showResults(results)
    
    #print(emotion)
    cv2.putText(vid,emotion, (50, 50), cv2.FONT_HERSHEY_SIMPLEX, 1, (80, 70, 255), 2, cv2.LINE_4)
        

    cv2.imshow("video",vid)
    
    k = cv2.waitKey(1) & 0xFF
           
    if k == 27:
        break
    
cv2.destroyAllWindows()
    
    
    

Source Code on my Github page

Credits

MohammadReza Sharifi

MohammadReza Sharifi

13 projects • 6 followers
I'm an Electrical Engineer and Maker.

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