Learn how VISEO (https://aka.ms/iotshow/viseo) is analyzing large amounts of data (1 GB to 1 TB) collected from drones and other vehicles flying over 32,000 km of railway tracks in France for Altametris, a subsidiary of SNCF Réseau.

VISEO’s Vincent Thavonekham, Head of Smart Factory, and Igor Leontiev, Chief Cloud Solution Architect, show three demos in this amazing episode. Vincent and Igor demonstrate how VISEO processes 42 billion laser dots and other data collected from 450 km of railroad tracks from Paris to Lyon.

Using VISEO’s custom data model and Azure IoT Edge, data at the edge is now prepared for upload to the Cloud in days instead of weeks. From the Cloud, Altametris analyzes the data to track and maintain its railroad assets remotely reducing expenses and increasing safety.

Watch Paul de Carlo, Microsoft Cloud Developer Advocate, step through his Intelligent Edge Hands-on Lab (https://aka.ms/iotshow/intelligentedge — which is open source and available for you to try)

During this lab, Paul deploys an IoT Edge module to an NVIDIA Jetson Nano development board to allow for detection of objects from the live video stream of a Webcam. In this episode, the webcam is scanning the floor at Microsoft Ignite 2019 and detects people, backpacks, chairs and more, in real time.

The same setup can detect objects in YouTube video streams, RTSP streams, or HoloLens Mixed Reality Capture and stream up to 32 videos simultaneously. Object Detection is accomplished using YOLOv3-tiny with Darknet.

Learn why Paul and Olivier are never going to give you up, never going to let you down during this memorable episode.