# Amazon Rekognition Projects at AI Tinkerers

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> Technology record last updated: 2026-03-11T13:03:32Z
> Generated: 2026-08-23T22:04:16Z

Fully managed AWS service: Embed advanced image and video analysis—like facial recognition and content moderation—into your applications using deep learning APIs.

Amazon Rekognition is the fully managed AWS computer vision service: it delivers high-accuracy image and video analysis via a simple API call. Developers use it to detect thousands of objects, scenes, and activities, or to perform critical tasks like Face Liveness Detection and explicit content moderation. The service leverages proven deep learning models, allowing you to add sophisticated features—like celebrity recognition or Custom Labels for business-specific objects—without needing machine learning expertise. This scales your visual data processing efficiently.

- Official technology site: https://aws.amazon.com/rekognition/
- Public AI Tinkerers demos and talks: 1
- Result page: 1 of 1

## Recent Public Talks and Demos

### [Easy indexing of NASCAR archived footage](https://seattle.aitinkerers.org/talks/rsvp_-X1ysKvGvHA)

I'm excited to show off what I've been doing but actually, I'm looking for feedback and advice. The last time I did this I worked on Bing Image and Video search and it was a custom pipeline and mostly we just wanted to find video clips, not really search within them for specific scenes. For NASCAR I need a low-cost rapid way to index race footage for a project I'm working on. So far, I have used Amazon Rekognition and Twelve Labs. I will demo both but if someone in the group has experience using these or other off the shelf indexing tools and integrating into Media Asset Management solutions I'd love to connect.

- Event context: October Meetup - Science Fair at Foundations — 2025-10-23 — Seattle
- Public talk page: https://seattle.aitinkerers.org/talks/rsvp_-X1ysKvGvHA

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