Class 10 AI Made Easy | Unit 5 Computer Vision explained in simple words | CBSE 2026

🎓 Making AI & Computer Science Easy Welcome to a channel built to make complex topics easy to understand. 💡 Discussions on Telegram → Group [https://t.me/+c5gWM6PiL085M2I1] 🔗 Notes + Doubt Support on Telegram → akask.ai bot [search on telegram @akask_ai_bot] 📁 Google Drive → Collections [https://drive.google.com/drive/folder...] 🧭 AI CBSE Syllabus 2026 → Official PDF [https://cbseacademic.nic.in/web_mater...] ▶️ Playlists → Full Course Collection [   / @aakashsingh7.7  ] PYQs:    • Class 10 MOST EXPECTED questions for 2024 ...   Concepts:    • CLASS 10: Introduction to Artificial Intel...   Important Questions:    • Class 10: 40 EXPECTED QUESTIONS for Boards...   Practice Videos:    • PRACTICE  QUESTIONS for Artificial Intelli...   🧠 UNIT 5 – Computer Vision | Class 10 AI (417) 🎯 Learning Goals: Understand Computer Vision, image representation, feature extraction, object detection, segmentation, and Convolutional Neural Networks (CNNs) through theory + hands-on activities. ⸻ 📘 Theory Overview • Introduction to Computer Vision — concept & real-world applications. • CV Concepts: pixels, resolution, grayscale vs RGB, and common CV tasks. ⸻ 🔬 Image Features & Convolution • Apply the Convolution Operator to process images and extract features. • Visualize kernel operations and filters. ⸻ 🤖 Convolutional Neural Networks (CNN) • Learn CNN architecture — kernels, layers, and feature maps. • Activity: Test a basic CNN for image recognition. ⸻ 📌 *Aligned with CBSE AI (417) Learning Outcomes | Board Exam 2025 Ready8 📘 What We Cover • Artificial Intelligence (417) — from basics to projects • Information Technology (402) & Informatics Practices (065) • Computer Science & Computer Applications 🧠 Teaching Approach Concept-first explanations → Visual demonstrations → Practice & Board-level revision Each chapter follows CBSE learning outcomes with one-shot videos, PYQs, and quick recaps.