Computer vision with Arduino

Module 1: Introduction to Arduino & Serial Communication

Topics Covered:

• Setting up Arduino UNO & Shield

• Basics of Serial Communication (Theory & Practical)

• Sending & Receiving Data Over USB

• Python-Arduino Communication using PySerial

Project:

• Control RGB LED from Python via Serial Commands

• Exercise: Send Commands to Control Arduino Outputs

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Module 2: Integrating Sensors & Actuators with Arduino

Topics Covered:

• Working with IR Sensor for Object Detection

• Using Ultrasonic Sensor for Distance Measurement

• Controlling Servo Motor for Physical Actions

• Interfacing Buzzer and LED for Alerts

Project:

• Distance-Based Buzzer Alert System

• Exercise: Multi-Sensor Data Logging using Python

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Module 3: Setting Up OpenCV for Computer Vision

Topics Covered:

• Installing OpenCV and Configuring Python Environment

• Capturing Video Feed from Webcam

• Basic Image Processing Techniques (Grayscale, Thresholding, Contours)

• Object Detection Fundamentals

Project:

• Detect Moving Objects and Send Signal to Arduino

• Exercise: Object Detection with Basic Filtering

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Module 4: Object Detection & Interaction with Arduino

Topics Covered:

• Detecting Colors Using OpenCV & Controlling RGB LED

• Face Detection with OpenCV & Triggering Buzzer

• Gesture Recognition to Move Servo Motor

• Integrating Computer Vision with Arduino Commands

Project:

• Move the Servo Motor When a Face is Detected

• Exercise: Color-Based Object Detection

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Module 5: Real-Time Tracking & Automation

Topics Covered:

• Hand Tracking to Control Servo Motor

• Ultrasonic Sensor for Obstacle Detection and Python Communication

• Implementing Motion Detection for Security Applications

• Combining Computer Vision with Sensor Data

Project:

• Build an Automated Door Using Face Detection & Servo Motor

• Exercise: Motion Detection with Alarm System

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Module 6: Capstone Project – AI-Powered Arduino System

Objective:
Create an intelligent, AI-powered Arduino system using OpenCV and serial communication for real-world automation.

Project:

• Voice & Gesture Controlled Robot (OpenCV + Arduino)

• Real-World Application: Smart Security System / Home Automation

• Features:

  • Object Detection & Tracking

  • Motion Detection & Alerts

  • Gesture Control with Servo Motors

  • Voice Commands for Control

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Learning Outcomes:

• Master Serial Communication Between Python and Arduino

• Develop Real-Time Object Detection and Tracking Systems

• Create Interactive Computer Vision Applications Using OpenCV

• Build Automation and Robotics Projects with Arduino

• Implement AI-Powered Control Systems Using Python