1. The Custom Vision AI Dev Kit gets a configuration from IoT Hub, which installs the IoT Edge Runtime and an ML model.
2. If the model sees a person, it takes a picture and uploads it to Azure Stack Hub blob storage.
3. The blob service triggers an Azure Function on Azure Stack Hub.
4. The Azure Function calls a container with the Face API, to get demographic and emotion data from the image.
5. The data is anonymized and sent to an Azure Event Hubs cluster.
6. The Event Hubs cluster pushes the data to Stream Analytics.

Stream Analytics aggregates the data and pushes it to Power BI. Power BI provides an easy-to-use dashboard interface for viewing the output from Azure Stream Analytics.

https://learn.microsoft.com/en-us/azure/architecture/solution-ideas/articles/hybrid-footfall-detection