Computer Vision to Secure Your Surroundings with AI/ML Solutions Using Open Source Tools at the Edge
Offered By: Linux Foundation via YouTube
Course Description
Overview
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
Tags
Related Courses
Building an Open IoT Solution with EdgeX Foundry and Zephyr ProjectLinux Foundation via YouTube An Introduction to EdgeX Foundry
Linux Foundation via YouTube AI/ML Data Pipeline Processing with Go Microservices at the Edge - Open Source Solution
Linux Foundation via YouTube The State of Open Source Networking and the Edge
Linux Foundation via YouTube Integrating ROS into EdgeX: Building a Unified Edge Computing System
Linux Foundation via YouTube