Reconstructed Slides: CIAM for AI: Authn/Authz for Agents — Michael Grinich, CEO of WorkOS

Source Video

CIAM for AI: Authn/Authz for Agents — Michael Grinich, CEO of WorkOS

Method

This deck is reconstructed from the existing video frame captures by detecting likely slide regions with OpenCV, cropping/upscaling those regions, deduplicating similar crops, and OCRing the cropped slide images locally. It is a cleaner companion to the full-stage frame deck.

Reconstructed Slides

• Source frame: slide-001.jpg
• Crop: full [0, 0, 960, 540] score 160.06

• Source frame: slide-002.jpg
• Crop: full [0, 0, 960, 540] score 159.11

• Source frame: slide-003.jpg
• Crop: full [0, 0, 960, 540] score 166.1

• Source frame: slide-004.jpg
• Crop: full [0, 0, 960, 540] score 165.75

• Source frame: slide-005.jpg
• Crop: full [0, 0, 960, 540] score 162.84

• Source frame: slide-006.jpg
• Crop: full [0, 0, 960, 540] score 158.37

• Source frame: slide-007.jpg
• Crop: full [0, 0, 960, 540] score 158.41

• Source frame: slide-008.jpg
• Crop: full [0, 0, 960, 540] score 158.96

• Source frame: slide-009.jpg
• Crop: full [0, 0, 960, 540] score 156.87

• Source frame: slide-010.jpg
• Crop: full [0, 0, 960, 540] score 161.29

• Source frame: slide-011.jpg
• Crop: full [0, 0, 960, 540] score 157.78

• Source frame: slide-012.jpg
• Crop: full [0, 0, 960, 540] score 167.66

• Source frame: slide-013.jpg
• Crop: full [0, 0, 960, 540] score 155.78

• Source frame: slide-014.jpg
• Crop: full [0, 0, 960, 540] score 160.92

• Source frame: slide-015.jpg
• Crop: full [0, 0, 960, 540] score 162.42

• Source frame: slide-016.jpg
• Crop: full [0, 0, 960, 540] score 165.37

• Source frame: slide-017.jpg
• Crop: full [0, 0, 960, 540] score 166.64

• Source frame: slide-018.jpg
• Crop: full [0, 0, 960, 540] score 154.87

• Source frame: slide-019.jpg
• Crop: full [0, 0, 960, 540] score 160.45

• Source frame: slide-020.jpg
• Crop: full [0, 0, 960, 540] score 158.55