Marco Mancini
Published

Face Recognition & Face Tracking via OpenCV and UDOO

Make a screen move towards your face when it moves in the camera range

Full instructions provided5,124
Face Recognition & Face Tracking via OpenCV and UDOO

Things used in this project

Hardware components

UDOO DUAL
UDOO DUAL
×1
MicroSD
with Ubuntu pre-installed
×1
UDOO Camera Module
UDOO Camera Module
or Compatible USB Camera
×1
UDOO Screen
×1
Servos (Tower Pro MG996R)
×2

Software apps and online services

OpenCV
OpenCV

Story

Read more

Code

code.txt

Plain text
sudo pip install pyserial

code.txt

Python
import cv2
import sys
import serial

# Create an object Serial with ttymxc3 port
ser = serial.Serial(
    port='/dev/ttymxc3',
    baudrate=115200,
    parity=serial.PARITY_ODD, # Optional
    stopbits=serial.STOPBITS_ONE, # Optional
    bytesize=serial.EIGHTBITS # Optional
)

# Check if Serial is Open, close it then re-open (to avoid exception)
if ser.isOpen():
    ser.close()

ser.open()
cascPath = sys.argv[1]
faceCascade = cv2.CascadeClassifier(cascPath)

# Set video source (UDOO Camera) and resolution
video_capture = cv2.VideoCapture(7)
video_capture.set(3,320)
video_capture.set(4,240)

while True:
    # Capture frame-by-frame
    ret, frame = video_capture.read()
    gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    faces = faceCascade.detectMultiScale(
        gray,
        scaleFactor=1.2,
        minNeighbors=5,
        minSize=(30, 30),
        flags=cv2.cv.CV_HAAR_SCALE_IMAGE
    )

    # Draw a rectangle around the faces
    for (x, y, w, h) in faces:
        print ("x: ",x,", y: ",y)
        prov=str(x)
        prov = prov + 'x'
        ser.write(prov)
        prov=str(y)
        prov = prov + 'x'
        ser.write(prov)
        cv2.rectangle(frame, (x, y), (x+w, y+h), (0, 255, 0), 2)

    # Display the resulting frame
    cv2.imshow('Video', frame)

    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# When everything is done, release the capture
video_capture.release()
cv2.destroyAllWindows()

code.txt

C/C++
#include  
 
int data[3], v[2];
int i=0, j=0, n=0, prov=320, num, plus=320, plus1=240, aum=45, aum1=45;
char c;
Servo servo1;
Servo servo2;
 
void setup()
{
  servo1.attach(2); 
  servo2.attach(3);  
  Serial.begin(9600);
}
 
void loop()
{  
  //Read Serial bus data received from Python and write them into servo position
  if(Serial.available())
  {
    prov=Serial.read()-48;
    if(prov!=72)
    {
      data[i]=prov;
      i++;
    }
    else
    {
      if(i==0)
        num=0;
      if(i==1)
        num=data[0];
      if(i==2)
        num=data[1]+data[0]*10;
      if(i==3)
        num=data[2]+data[1]*10+data[0]*100;
      i=0;
      v[n]=num;
      n++;
      if(n==2)
      {
        //Start X axis
        while(plus>0)
        {
          if((v[0]<=plus) && (v[0]>(plus-10)))
          {
            servo1.write(aum-5);
            delay(15);
            plus=0;
          }
          else
          {
            plus=plus-10;
            aum=aum+3;
          }
        }
        plus=320;
        aum=45;
        //Start Y axis
        while(plus1>0)
        {
          if((v[1]<=plus1) && (v[1]>(plus1-10)))
          {
            servo2.write(aum1);
            delay(15);
            plus1=0;
          }
          else
          {
            plus1=plus1-10;
            aum1=aum1+3;
          }
        }
        plus1=240;
        aum1=45;
        n=0;
      }
    }
  }
}

code.txt

Plain text
sudo python file_name.py xml_name.xml

code.txt

Plain text
sudo python webcam.py haarcascade_frontalface_default.xml

Github

https://github.com/MakerMark/FaceTracking

Credits

Marco Mancini

Marco Mancini

2 projects • 12 followers
#Maker, student and beer consumer at @UDOO_Board dev team. Founder of #GDGCamerino, the @google dev group of my own town. Love #robotics, #DIY, #Drones.

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