Build Your Own Security Guard
summary
A .NET Core service captures motion images and saves them to Azure Blob Storage, then starts an Azure Durable Functions orchestration that invokes Azure Functions, Computer Vision, and the Face API to analyze faces. Results and events are stored in Cosmos DB, email alerts are sent for detections, and a simple App Service UI demonstrates matching known faces (confidence ~0.54–0.81) and flagging unknown faces, including a negative example of a public figure.
AI-written summary · about
chapters (12)
- 0:00Start
- 1:44Heroes
- 3:24Agenda
- 4:31What is CERBERUS?
- 6:20How we designed it
- 9:55Features
- 15:46Elements of a function
- 16:43Important concepts of Durable Functions
- 23:27Consumption Plans
- 30:15Cognitive Services: Computer Vision
- 33:15Cognitive Services: Face
- 36:03DEMO TIME
related talks
46mBuild apps with state-of-the-art computer vision
01h 33mComputer Vision in Azure
46mBuilding computer vision applications Q&A
29mApplied Custom Vision
01h 01mFive Azure services every developer should know
36mVideo analytics at scale: Deep Learning, Computer Vision, ML & Spark
27mDevelop Computer Vision Apps With Go
20mBuild Intelligent Apps with .NET and Azure
