Premieres: December 2nd, 9am-10am PDT with live Q&A and on-demand following the event.
Deep Dives are interactive technical live and on-demand events for developers, architects, or anyone building IoT solutions. Microsoft engineers and guest speakers do technical deep dives about a new feature or scenario. List of all upcoming Microsoft IoT Deep Dives: https://aka.ms/iotshow/deepdive
- To ask questions during the live event, please go here and join chat (This link goes live a day before the event): https://aka.ms/live/deepdive/live-video-iot-edge
- Calendar Invite - iCal download event reminder and link to add to your calendar
Deep Dive: Live Video Analytics on IoT Edge
Live Video Analytics enables customers to build intelligent video applications that span the edge and the cloud. The Azure LVA platform offers the capability to capture, record, and analyze live video using AI and business logic of your choice. It can also be used in conjunction with other Azure IoT Edge modules such as Stream Analytics, Cognitive Services, as well as cloud services such as Azure Media Services, Azure Time Series Insights, etc.
Live Video Analytics is applicable to any business that wants to use video data sourced from cameras at their business location to automate business processes. In this session, we will explore how Azure cloud services can be used to generate video insights at the edge to provide actionable insights. We will walk through the steps to create live video workflows using the Live Video Analytics on IoT Edge module, including applying AI to a live video stream to trigger real-time actions. With LVA on IoT Edge, you can easily perform actions like these without being a video or AI expert.
- Milan Gada, Microsoft Principal PM
Deep Dive Host: Pamela Cortez - Azure IoT Senior PM
Live Video Analytics (LVA) Resources