As she developed, the people-conting solution based on advanced model detection in computer vision. This solution can be deployed in various places and buildings to optimize your occupancy and living conditions. It runs on an STM32H747i Discovery Board with PCAMO MV. We've mounted it in various places of STOFIS to show you and have a short demo today. You can see this corridor, but this low resolution camera is able to detect people's presence to help understand the overall building occupancy. The system was also placed in front of the door to check on people entering or living rooms typically. A green sign is shown on the right of the board to indicate when the monitor location is empty and a red sign shows when people are passing by. Each person is detected and indicated with a green boarding box, which enables the application to come people and it could also be extended to check if their standing or sitting for instance. With no place to system to monitor the coffee room, this is a bit more challenging as people are no sitting and can be confused with the furniture. The system actually produced several boarding boxes and it's up to the application to filter out the warm ones. Here the application is displaying the boarding boxes in real time. Obviously in the end application, if the goal is to come people sitting in the coffee room, there will be additional filtering that could be done to make this more stable. The detection is done in real time, locally on the board with absolutely no connectivity requirement. This helps reduce its board consumption, also have the overall system as being more robust to attacks, as the data is kept locally at all times. You can imagine that only the number of people detected is sent over open-wiz network and local consumption, rather than sending the entire stream of video to be analyzed remotely. And just for fun, we played with Kotranger to show the model his properly trained to recognize people and his robust to simple furniture. If you are interested in more, or discuss your computer vision project with us, don't hesitate to contact us at edge.ti.