YoVDO

Computer Vision to Secure Your Surroundings with AI/ML Solutions Using Open Source Tools at the Edge

Offered By: Linux Foundation via YouTube

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Computer Vision Courses Internet of Things Courses Machine Learning Courses PostgreSQL Courses Smart Cities Courses GStreamer Courses EdgeX Foundry Courses

Course Description

Overview

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Explore computer vision techniques for securing surroundings using AI/ML solutions built with open-source tools in this 46-minute conference talk by Samantha Coyle and Neethu Elizabeth Simon from Intel Corporation. Delve into IoT concepts, global market trends, and smart city applications. Learn about Intel's software ecosystem, including RTSP, H264, GStreamer, Inference Engine, EdgeX Foundry, PostgreSQL, Go microservices, and Angular UI. Understand the solution flow, challenges, and ethical considerations in implementing edge AI for security. Gain insights into resource constraints, data management, and security issues while discovering Intel's ethical principles for AI development.

Syllabus

Introduction
Agenda
Team Introduction
What is IoT
Global IoT Market
Computer Vision
Smart City
Project Objectives
Intel Software Ecosystem
Background
Architecture
RTSP
H264
GStreamer
Inference Engine
EdgeX Foundry
PostgreSQL
Go Microservices
Angular UI
Grafana UI
Solution Flow
Challenges Learning
Resource Constraints
Data Management
Security
Ethical Considerations
Intels Ethical Principles
Questions
Intel Edge


Taught by

Linux Foundation

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