How to Use Amazon Rekognition for Facial Recognition and Analysis

Amazon Rekognition provides a diverse set of APIs useful for performing facial recognition and analysis. In this video, I show you how to use the DetectFaces API with Python and boto3 to identify faces in an image including characteristics such as eye position, emotion, smiling, and more. I show you how to use this API from within an AWS Lambda Function using an image object that is stored in an Amazon S3 Bucket.
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[@sdht6107]

Hello, good tutorial but mine times out after waiting for 3 secondsi have no idea why this happend

[@zachr93]

A white couch while having dogs, you are a brave man.

[@BeABetterDev]

lol! I tried to tell my wife!

[@AdminAccount-cr2tb]

what's interesting is that the response is NULL in the json response (the response is coming back as Function Log) - therefore if you try to parse the result from json to an app you will get NULL. look at 9:51 and read the json.

[@andriys5772]

Thank you!

[@aayanperogaming255]

Can we add custom labels like dark spot or wrinkles

[@joshuabaker7552]

Does this work with protected S3 folders or private ones?

[@highenergy8281]

Daniel, I am a researcher and historian and was wondering if there's any way I could compensate you to compared to photographs and determine whether they're the same person. Please contact me if you're able to do this. I'll privately compensate

[@itzysdaily9238]

is there other free facial analysis ai or website out there?

[@madhavambulkar8764]

Mine isn't working

[@th3d3r139]

This is great, thanks for sharing. Would I be able to use this if I wanted to validate a member of a website? I want to create a website with some courses and need to ensure that the person who is taking the course is actually there for the duration that is required. Or could it a web cam monitoring the person and not allowing the course to continue if the face is no longer detected?

[@BeABetterDev]

Hi there! You could set it up to take a snapshot every few minutes to confirm the person is there. There is another feature of Rekognition that allows you to compare a face to past seen faces. I suppose you could set this up so that every time a new snapshot is taken, it compares it against the known library of faces, and ensure that the same face-id is returned each time.
Hope this helps or atleast gives you some ideas!

[@elhamyounesian4952]

Hello, thanks for this useful video! :) I am working on implementing Rekognition on AWS Greengrass for testing it for edge computing. My main goal is detecting objects by sending from a RaspberryPi and measuring the latency on edge computing using Greengrass. I setup the IoT core, components and ...but don't know how should I combine Rekognition with the GG to compute locally at the edge. I'd be grateful if you share any experience on this regard with me.
Thanks! :)

[@namucho266]

amazing video and cute dogs! haha thank you

[@skyforever1000]

easy one, thanks

[@raczyk]

Can you use Amazon Rekognition on a video? There any software that can?

[@hectorfernandez02]

Yes you can