Week #10: Make-through

• Step1: After looking for how to use haar cascade I have downloaded the examples folder there are many examples and applications like object tracking or eye-tracking and so on, for me I have chosen aarcascade_frontalface_default and haarcascade_eye which will automatically detect the eyes and the face movement.

• Step2: It was necessary to install some packages through the terminal such as:

sudo apt-get install libhdf5-dev libhdf5-serial-dev libhdf5-100

sudo apt-get install libqtgui4 libqtwebkit4 libqt4-test

sudo apt-get install libatlas-base-dev

sudo apt-get install libjasper-dev

wget https://bootstrap.pypa.io/get-pip.py

sudo python3 get-pip.py

sudo pip3 install opencv-contrib-python

sudo pip3 install opencv-python

• Step3: I have used the GPIO pins as GPIO no bcm

• Step4: I have defined the camera as an input device while the servo motor as an output device.

• Step5: I setup the GPIO pin 12 as an output pin and defined PWM function to use it to control the servo motor.

• Step6: also I have used some important arrays such as PiRGBArray, Pi Camera and some libraries like time, cv2.

• Step7: Connected the raspberry pi camera on the RPI board and attached the servo motor in the defined GPIO Pins.

• Step8: Now I need to track face, so I need to detect and read the (x,y) location.

• Step9: It worked perfectly so whenever I move my face the servo motor moves in a specific angle which I have previously defined in the code.

• Introduction to open cv

• How to use a raspberry pi camera

• How to use classifiers

• Using input reads to control outputs of Raspberry pi GPIO's