📚 Join the Bootcamp or Get Access to Pro Material
If you want access to lecture recordings, assignments, GitHub code, handwritten notes, and our Hands-on CV Book (in progress), visit:
👉 https://hands-on-cv.vizuara.ai/

🔍 Day 1 - Hands-on Computer Vision Bootcamp | OpenCV Basics, Filters, and Burglar Detection Project

Welcome to Day 1 of the Hands-on Computer Vision Bootcamp!

In this foundational lecture, we begin our deep dive into the world of computer vision by building a strong understanding of its roots, practical relevance, and hands-on applications. Whether you are a beginner or someone with some exposure to machine learning, this session is designed to set the stage for everything that follows.

🎓 What is covered in this lecture:

✅ Real-world journey into CV - from dusty solar panels to dust particle detection using CNNs
✅ Traditional vs Deep Learning in CV - rice grain classification using ellipse fitting
✅ Rise of Deep Learning: AlexNet, filters, GPUs, and the fall of hand-engineered features
✅ Getting started with OpenCV:
 - Reading and displaying images
 - Image resizing, blurring, grayscale conversion
 - Edge detection using Canny algorithm
✅ Drawing and annotation on images using rectangles and text
✅ Capturing video from webcam and stored files using OpenCV
✅ Mini Project: Building a simple Burglar Alarm System using frame differencing logic
✅ Understanding hand-crafted filters using intuitive analogies (e.g., light rays for edge detection)

🛠 Tools & Setup:

VS Code as the IDE

Python environment setup using virtualenv

OpenCV installation and common issues

Copilot and WhisperFlow for AI-assisted coding (optional)

💡 Target Audience:
This session is ideal for anyone looking to get into computer vision with a practical mindset - especially students, developers, researchers, or professionals from non-CS backgrounds.

🧠 What you will walk away with:
By the end of this lecture, you will be comfortable setting up a CV environment, running OpenCV code, building basic image processing pipelines, and creating your first hands-on application.

🚀 Coming up in future lectures:

R-CNN for object detection

U-Net for segmentation

YOLOv8 for real-time detection

Object tracking, counting, and pose estimation

Deployment using Roboflow

📚 Join the Bootcamp or Get Access to Pro Material
If you want access to lecture recordings, assignments, GitHub code, handwritten notes, and our Hands-on CV Book (in progress), visit:
👉 https://hands-on-cv.vizuara.ai/

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YouTube

A comprehensive introduction to computer vision covering the evolution from traditional handcrafted filters to deep learning approaches. The session demonstrates practical OpenCV implementation including image reading, processing operations like resizing, grayscale conversion, blurring, and edge detection using Canny detector. Includes hands-on setup instructions for development environment with VS Code, Python virtual environments, and OpenCV installation. The instructor shares real-world applications across industries like healthcare, manufacturing, agriculture, and autonomous vehicles, emphasizing computer vision's widespread industrial relevance beyond consumer-facing applications.

Hands on Computer Vision Bootcamp | Day 1