Edwin Tan

Image Processing (used openCV):

      Applying Gaussian Blur for filtering noise 

             gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)

             gray = cv2.GaussianBlur(gray, (21, 21), 0)

      Dynamically adjusting background to adapt to environmental changes

      Subtracting weighted average from the current frame to detect “motion”

          delta = |background_model – current_frame|

      Detecting contours and drawing a boundary

Motor Integration:

      Calibration to find the best values for angle, range, steps, speed

      Using threading to enable parallel execution (motor control and video)

            threading.Thread(target = runMotorForward)

Video Recording 

      Converting consecutive frames to video using MEncoder

Implemented Language: Python 2.7