 Hello and welcome on STBOOVE here on Electronica. My name is Roman and I would like to show you a very nice solution that is implementing HAI on a very tiny small-factor solution. So imagine the use case. You want to implement a security camera or a solution that would enable you to understand how many people are present in a room or in a given environment. What are the challenges that brings this solution? The form factor, the power consumption and most important is the privacy. So which data are really being sent or not sent outside of our system? With this nice solution that we can see on top of me, thanks to our partner Sienna system and Octavo, on this platform we are integrating the Octavo system in package solution that is based on our STN32 MP1 microprocessor. This microprocessor is powerful enough to implement the HAI people counting algorithms without the need of any other for the accelerators for neural net forks. So with this you can implement the solution with very low power consumption, small factor and most importantly no data are being sent outside. So let's see how it works. On this screen we have a visualization of the number of people and their coordinates in our given space. How many they were detected by the algorithm? And as I said in the beginning the beauty of this that no privacy data are being sent outside of the board. All the sensitive data stays there and the only thing that we visualize here are the coordinates and the number of people being detected. Okay, that's it. Thank you for your attention and shall you be interested in more information? Please check directly at sienna-system.com or ST.com slash partners. Thank you.