Rekognition Image & Video Analysis

Detecting faces, objects, and scenes using Amazon Web Services

Ross Rhodes
AVM Consulting Blog

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Ranging from hand written number recognition, to facial identification, to speech analysis, machine learning proves invaluable across an abundance of fields. With a growing community joining Amazon Web Services, the demand for classification algorithms in the cloud continues to grow. So what does AWS offer that we can apply to our applications?

Launched in 2016, Amazon Rekognition allows us to detect objects, compare faces, and moderate images and video for any unsafe content. This is only a few of the many features it delivers. Requiring no training data or any knowledge on your part of the underlying machine learning techniques, Rekognition easily plugs into AWS applications to deliver detailed analysis.

source: mysmartcave.net

Using an AWS Lambda function running Python 3.8, let’s explore Rekognition’s capabilities to demonstrate its impressive functionality out-the-box. Along the way, we’ll see a picture of my home county, give Rekognition the opportunity to guess my age (what do you think?), and analyse footage of the UK’s only male Giant Panda!

Detecting Objects and Scenes

Rekognition is able to identify objects and scenes within your images, returning a confidence metric between…

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Ross Rhodes
AVM Consulting Blog

Senior Software Engineer developing event-driven serverless systems at Kraken. Working primarily with AWS, Node.js, and Python. Views expressed here are my own.