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HAQM Rekognition resources

Tutorials and workshops

Developer guides

Product overview, instructions for using the features, and complete API reference for developers

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HTML | PDF

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Use case videos

HAQM Rekognition overview

Two-minute overview of HAQM Rekognition.

Key use cases and functionality

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Deploy solutions

GitHub templates to accelerate solution deployment

Image and video analysis

Solution
Reference architecture for large scale image and video processing using HAQM 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 HAQM Rekognition SegmentDetection and TechnicalCues APIs.     

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GitHub

Solution
Calculate and display audience engagement levels using the HAQM 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 HAQM Rekognition Text in video API.

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GitHub

Solution
Identify and detect specific brands in videos and images using HAQM Rekognition Custom Labels.

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GitHub

Custom Labels

Solution     
Cost-optimized batch processing of images using HAQM Rekognition Custom Labels.     

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GitHub

Solution
HAQM Rekognition Custom Labels demo solution.     

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GitHub

Solution
HAQM Rekognition Custom Labels model feedback solution.
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GitHub

Online exam invigilation

Solution     
Reference architecture for online exam invigilation using HAQM 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

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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.