Object detection on Edge devices with Live Video Analytics using YOLO model
Use a Live Video Analytics module to deploy a machine learning solution to an IoT Edge device. The solution will process a video feed from cameras and detect objects at the edge using a YOLO model to perform inferencing operations. Check that the solution is successfully deployed and test your solution from a web application.
Learning objectives
In this module, you will:
- Use Live Video Analytics on IoT Edge module to build a video analytics solution
- Deploy a set of modules to an IoT Edge virtual machine using the installer
- Set up an application that uses a virtual device for rapid inference at the edge
- Bring an AI model of your choice into the video analytics solution
- Test a solution that will detect a person at the edge from a web application
"Produced in partnership with the University of Oxford – Ajit Jaokar, Artificial Intelligence: Cloud and Edge Implementations course."
Prerequisites
- An Azure subscription
- Ability to use Azure Cloud Shell
- Basic knowledge of Azure IoT Edge
- Basic knowledge of Custom Vision
- Basic knowledge of Live Video Analytics
- Basic knowledge of containers
- Ability to use Docker