Microsoft runs an Azure Cognitive Service called Face Recognition. In this session we show a model that uses PowerApps, Power Automate flows and Power BI together with the Azure Face recognition. It is a real business project, made for a customer in the congress industry.
This case study uses a PowerApps model to get three photos of a participant, while he/she is looking at different colored pictures: blue, green or red. A Power Automate flow transfers the photos to the Face recognition, which will return the metrics of each photo. Based on the metrics the PowerApps model finds which color -picture- returns the highest “happiness” metric.
Based on this highest “happiness” factor and the color of the shown picture, the participant gets a lemonade in his/her “happiness” color. In the meantime, a Power Automate flow pushes the -aggregated- metrics, including gender and age into a live Power BI dashboard. The complete cycle takes less then a minute.
In this session we do a live demonstration of the model and show you the key elements in the PowerApp, the Power Automate flows and the Power BI dashboard to give you an idea of the real Power of the Power platform.