Amazon Rekognition resources
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Use case videos
Amazon Rekognition overview
Two-minute overview of Amazon Rekognition.
Key use cases and functionality
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GitHub templates to accelerate solution deployment
Image and video analysis
Solution
Reference architecture for large scale image and video processing using Amazon Rekognition.
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GitHub
Media and marketing
Solution
Media Insights Engine - a framework for building applications that process video, images, audio, and text on AWS.
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GitHub
Solution
Detect video segments such as Black Frames, End Credits, and Color Bars using the Amazon Rekognition SegmentDetection and TechnicalCues APIs.
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GitHub
Solution
Calculate and display audience engagement levels using the Amazon Rekognition Faces APIs.
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GitHub
Solution
Media2Cloud - framework for ingesting video assets with AI/ML enhanced metadata
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GitHub
Solution
Finding opportunities for overlay Ad placements in videos using Amazon Rekognition Text in video API.
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GitHub
Solution
Identify and detect specific brands in videos and images using Amazon Rekognition Custom Labels.
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GitHub
Online exam invigilation
Solution
Reference architecture for online exam invigilation using Amazon Rekognition Faces, Labels, and Text APIs.
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GitHub
Workplace safety
Solution
Process frames from cameras to detect Personal Protective Equipment such as helmet, gloves, and masks using DetectProtectiveEquipment API.
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GitHub
Solution
Detect a specific Personal Protective Equipment such as high visibility vest and safety goggles using Custom Labels.
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GitHub
Blogs
All blog posts
Get started
1
Set up and log into your AWS account
Set up and log into your AWS account.
2
Set up the AWS Command Line Interface
Set up the AWS Command Line Interface.
3
Get started using the API
Get started using the API.