COVID-19: Identity verification & work safety with Amazon Rekognition
summary
Shows a concrete implementation using Amazon Rekognition: PPE detection API flags helmets, masks and gloves from webcam or S3 frames and returns per-person body part coverage and confidence; sample Python SDK code and a deployable web app demonstrate real‑time alerts, serverless frame processing, and audit reports. Identity flow uses face compare API with a 95%+ similarity recommendation and quality filter; production case runs 72,000 simultaneous tests, expands coverage 10x to 912 cities and maintains comparable scores.
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chapters (17)
- 0:00Intro
- 1:42Common applications of Amazon Rekognition
- 3:21Amazon Rekognition PPE detection
- 4:22How it works
- 10:22Deploying PPE detection in your organization
- 12:19Face identification
- 12:58Face comparison and search
- 13:35Amazon Rekognition identity verification customers and partners
- 16:40The challenge
- 17:41Business objectives
- 19:06The solution
- 20:17The results
- 21:34What's next
- 22:45Student onboarding
- 23:23Student verification
- 24:26Online assessment audit report
- 25:21Sample implementation
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