---
title: "Reconstructed Slides: Cognitive Shield Real Time Real Smart - Rachna Srivastava"
category: "slides"
video_id: "5_QWh4LGoxg"
sourceLabels: ["Cropped public YouTube video frames", "Local OpenCV slide-region detection", "Local RapidOCR"]
---

# Reconstructed Slides: Cognitive Shield Real Time Real Smart - Rachna Srivastava

## Source Video
[Cognitive Shield Real Time Real Smart - Rachna Srivastava](https://www.youtube.com/watch?v=5_QWh4LGoxg)

## 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
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-001.jpg]]

- Source frame: `slide-001.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `171.48`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-002.jpg]]

- Source frame: `slide-002.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `171.89`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-003.jpg]]

- Source frame: `slide-003.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `172.1`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-004.jpg]]

- Source frame: `slide-004.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `171.3`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-005.jpg]]

- Source frame: `slide-005.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `168.84`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-006.jpg]]

- Source frame: `slide-006.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `167.52`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-007.jpg]]

- Source frame: `slide-007.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `168.28`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-008.jpg]]

- Source frame: `slide-008.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `170.87`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-009.jpg]]

- Source frame: `slide-009.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `171.09`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-010.jpg]]

- Source frame: `slide-010.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `170.92`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-011.jpg]]

- Source frame: `slide-011.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `170.68`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-012.jpg]]

- Source frame: `slide-012.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `170.22`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-013.jpg]]

- Source frame: `slide-013.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `169.26`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-014.jpg]]

- Source frame: `slide-014.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `171.1`
![[assets/reconstructed-slides/5_QWh4LGoxg/slide-015.jpg]]

- Source frame: `slide-015.jpg`
- Crop: `full` `[0, 0, 960, 623]` score `174.05`
## Dense Scene-Detected Slide Candidates
- [[youtube-5_QWh4LGoxg-dense-slides]]