Comprehensive guide to deploying production-ready CNNs on edge devices for real-time object detection. Covers architecture fundamentals, YOLOv8 vs YOLO26 comparison, quantization techniques achieving 4x compression, and hardware platform selection including NVIDIA Jetson, Raspberry Pi + Coral TPU, and Intel OpenVINO solutions.
Tag: computer vision
Mobile-First Development: Creating Android and iOS Apps with MediaPipe Framework
Master native mobile app development with MediaPipe for Android and iOS. Learn platform-specific optimizations, cross-platform strategies, and app store deployment for computer vision applications.
Face Detection vs Face Recognition: Building Smart Camera Apps with MediaPipe Face Solutions
Explore MediaPipe’s face detection and face mesh capabilities. Learn the difference between detection and recognition, build smart camera apps, and implement privacy-first facial analysis solutions.
Hand Tracking Made Easy: Build Gesture Recognition Apps with MediaPipe in Python
Master MediaPipe’s hand tracking capabilities with Python. Learn to build gesture recognition apps, count fingers, detect pinch gestures, and create interactive applications with real-time hand landmark detection.
Getting Started with MediaPipe: Your Complete Beginner’s Guide to Real-Time Computer Vision
Learn how to get started with Google’s MediaPipe framework for real-time computer vision. This beginner-friendly guide covers installation, basic concepts, and building your first hand detection application.
