IoT - Building Machine Vision System

Overview

Explore the world of IoT and machine vision systems in this 44-minute conference talk from code::dive 2016. Delve into the creation of a low-budget IoT machine vision system, covering AI-enabled vision and object recognition modes. Learn about machine learning, data modeling, and artificial intelligence applications. Discover the capabilities of Windows 10 IoT Core and Universal Windows Platform for image acquisition and processing. Gain insights into emotion detection using Emotions API, content analysis with Vision API, and custom image processing techniques. Conclude with practical demonstrations and valuable takeaways for implementing machine vision in IoT projects.

Syllabus

Intro
PAS researcher
After hours: ordinary parent
Machine vision - inspiration
Low-budget lot machine vision system
Low-budget machine vision system: Operation modes
First mode: AI-enabled machine vision system
First mode: Al-enabled machine vision system
Second mode: object recognition
An outline of how it was built
Machine Learning
Data and model (reality vs expectations)
Artificial Intelligence
Windows 10 IoT Core: Not only for simple LED blinking
Windows 10 IoT Core and the Universal Windows Platform (UWP)
Mobile
Image acquisition in UWP
Single frame capture
Image processing loop
Emotions API
Emotion detection (REST client)
Vision API - reading image content
Video capture and image processing
Image processing for object recognition
Custom image processing - demo
Final conclusions