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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

Description:

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.

IoT - Building Machine Vision System

code::dive conference

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#Conference Talks #Code::Dive #Computer Science #Artificial Intelligence #Machine Learning #Computer Vision #Image Processing #Object Recognition #Machine Vision