Build your own KITT with Azure Cognitive Services
summary
Live demos use Azure Cognitive Services (Computer Vision, Face API, Custom Vision, Speech, Translator, LUIS, QnA Maker, Forms Recognizer, Video Indexer, Metrics Advisor, Personalizer). Examples: face detection returns landmarks, gender and age but can be wrong and face verification needs ~75–80% confidence to trust; license plates OCR works on clear plates; Custom Vision classifies cans or bad apples and exports to IoT; Video Indexer processes hours of video (English works best) but is the most expensive service; bot uses Web App Bot + LUIS to parse booking intents and confirm flights.
AI-written summary · about
chapters (11)
- 0:00Introduction and welcome
- 2:22What are Azure Cognitive Services
- 13:19Getting started with Azure account
- 17:49Demo: Face detection in Cognitive Services
- 29:04Demo: Computer vision with images
- 38:14Custom vision and forms recognizer
- 44:13Video indexer overview and demo
- 54:20Speech and language services
- 57:49Language understanding and bots
- 1:02:00Text analytics and other services
- 1:06:12Summary and closing
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