Linkedin

End-to-end computer vision at the edge for manufacturing

Project Overview

Project Detail

  1. The IoT Edge custom module captures the live video stream, breaks it down into frames, and performs inference on the image data to determine if an incident has occurred.
  2. The custom module also uses Azure storage SDK methods or blob API to upload the raw video files to Azure Storage, which acts as a raw media store.
  3. The custom module sends the inferencing results and metadata to Azure IoT Hub, which acts as a central message hub for communications in both directions.
  4. Azure Logic Apps monitors IoT Hub for messages about incident events. Logic Apps routes inferencing results and metadata to Microsoft Dataverse for storage.
  5. When an incident occurs, Logic Apps sends SMS and e-mail notifications to the site engineer. The site engineer uses a mobile app based on Power Apps to acknowledge and resolve the incident.

https://learn.microsoft.com/en-us/azure/architecture/reference-architectures/ai/end-to-end-smart-factory

To know more about this project connect with us

End-to-end computer vision at the edge for manufacturing