IoT - Building Machine Vision System

Overview

Explore IoT machine vision systems, from AI-enabled solutions to object recognition, using Windows 10 IoT Core and UWP. Learn about image processing, emotion detection, and custom implementations.

Syllabus

• Introduction to IoT and Machine Vision Systems
Overview of IoT Concepts
Understanding Machine Vision
Applications of Machine Vision in IoT
• Windows 10 IoT Core and UWP Fundamentals
Introduction to Windows 10 IoT Core
Setting up the Development Environment
Introduction to Universal Windows Platform (UWP)
• Basics of Image Processing
Image Acquisition and Preprocessing
Key Image Processing Techniques
Tools and Libraries for Image Processing
• Building AI-Enabled Solutions
Introduction to Machine Learning and AI in IoT
Integrating AI into Machine Vision Systems
Case Studies of AI-Enabled Vision Solutions
• Object Recognition in IoT
Techniques for Object Detection and Recognition
Implementing Object Recognition with IoT Devices
Exploring Pre-trained Models vs Custom Models
• Emotion Detection Systems
Understanding Emotion Recognition
Implementing Emotion Detection in Vision Systems
Use Cases of Emotion Detection in IoT
• Custom Implementations and Project Development
Project Planning and Design Considerations
Building a Custom Machine Vision Solution
Testing and Debugging Vision Systems
• Future Trends and Innovations in IoT Machine Vision
Emerging Technologies in Machine Vision
Challenges and Opportunities in IoT Vision Systems
Future Directions and Research Areas
• Final Project and Course Wrap-Up
Developing a Comprehensive Machine Vision Project
Presenting and Critiquing Project Outcomes
Course Summary and Future Learning Paths

Subjects

Conference Talks