The course combines computer vision, deep learning, and Arduino. You will build two projects using tools like MediaPipe and OpenCV. The first project will control an LCD display using your facial movements and the second project will control a robotic arm using computer vision.
In this course, you will learn:
- Serial communication between Python and Arduino,
- Face detection module (Landmarks),
- LCD display and Servo motor applications and
- Image Processing (OpenCV) project.
To connect with Yılmaz ALACA, check out his social accounts:
LinkedIn:
YouTube:
⭐️ Contents ⭐️
⌨️ (0:00:00) Intro
⌨️ (0:01:43) List of materials
⌨️ (0:02:58) Installation of Python
⌨️ (0:05:01) Installation of PyCharm IDE
⌨️ (0:10:13) OpenCV
⌨️ (0:12:30) MediaPipe
⌨️ (0:13:55) Arduino
⌨️ (0:16:09) Interface of Arduino
⌨️ (0:17:39) LCD Display
⌨️ (0:19:15) I2C
⌨️ (0:20:59) I2C LCD Display Library
⌨️ (0:23:49) Circuit Diagram
⌨️ (0:25:40) LCD Examples: Texting
⌨️ (0:31:51) LCD Examples: Clear
⌨️ (0:37:15) LCD Examples: Custom Chars
⌨️ (0:43:14) Getting started with MediaPipe
⌨️ (0:45:48) Opening a webcam
⌨️ (0:50:41) Facial Landmarks
⌨️ (1:07:16) Installation of PySerial
⌨️ (1:09:09) Project 1: Facial Expressions | Python Codes
⌨️ (1:36:41) Project 1: Facial Expressions | Arduino Codes
⌨️ (1:46:29) Servo Motor
⌨️ (1:55:09) Project 2: Robotic Arm with Computer Vision
❤️ Support for this channel comes from our friends at Scrimba – the coding platform that's reinvente
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2025/08/25
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