azure-samples / video-analyzer-iot-edge-csharp

Azure Video Analyzer Edge samples in CSharp

page_type	languages	products	description
sample	csharp	azure azure-video-analyzer	The samples in this repo show how to use the Azure Video Analyzer module to analyze live video using AI modules of your choice and optionally record video on the edge device or in the cloud.

Deprecated. Azure Video Analyzer samples

We’re retiring the Azure Video Analyzer preview service, you're advised to transition your applications off of Video Analyzer by 01 December 2022. This repo is no longer being maintained.

Contents

File/folder	Description
src	Sample source code.
.gitignore	Defines what to ignore at commit time.
README.md	This README file.
LICENSE	The license for the sample.
SECURITY	Guidelines for reporting security issues
CODE_OF_CONDUCT.md	Open source code of conduct

The 'src' folder contains two sub-folders

• cloud-to-device-console-app - This folder contains a dotnet core console app that enables you to invoke direct methods of Azure Video Analyzer module, with parameters defined by you in a JSON file (operations.json).
• edge - This folder has a few IoT Edge deployment manifest templates, along with sample code for an IoT Edge module (under 'modules' folder) that can be used in conjunction with the Azure Video Analyzer module.
• jwt-token-issuer - This folder contains an application for generating JSON Web Tokens. The output can then be used with the Azure Video Analyzer player widgets for playing back video recordings.
• video-player - This folder contains a ReactJS app that will enable you to view videos and create zones (line or polygon) using the AVA widget player.

Prerequisites

1. An active Azure subscription

2. Azure resources deployed in the Azure subscription

   a. Video Analyzer account

   b. Storage account

   c. Managed Identity

   d. IoT Hub

   e. Azure container registry

3. A Linux edge device with IoT Edge runtime

4. Visual Studio Code on your development machine with following extensions

   a. Azure IoT Tools

   b. C#

5. .NET Core 3.1 SDK on your development machine

6. Docker on your development machine

Set up Azure resources:

Setup

After cloning the repository, follow instructions outlined in src/cloud-to-device-console-app/readme.md to setup the console app.

Running the sample

Follow instructions outlined in src/cloud-to-device-console-app/readme.md to run the console app.

Key concepts

Read Azure Video Analyzer concepts

Code of conduct

This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or

video-analyzer-iot-edge-csharp's Issues

[Action Needed] This repo is inactive

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This repository has had no activity for more than 2 years. Long periods of inactivity present security and code hygiene risks. Archiving will not prevent users from viewing or forking the code. A banner will appear on the repository alerting users that the repository is archived.

Please see https://aka.ms/sunsetting-faq to learn more about this process.

Action

✍️

❗**If this repository is still actively maintained, please simply close this issue. Closing an issue on a repository is considered activity and the repository will not be archived.🔒

If you take no action, this repository is still inactive 30 days from today it will be automatically archived..

Need more help? 🖐️

• Email [email protected]. ✉️
• Post your questions in GitHub inside Microsoft Team in Microsoft Teams. 🗨️

Some questions

1. I have setup LVA edge and doing video analysis . I want to do spatial analysis. Currently i have been using a jetson nano. However i have a feeling these are better suited for amd64 type stuff. What kind of edge hardware do you recommend for spatial analysis and all that?
2. concepts does not open up a document. could you please give any videos on running this?