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DX Lab Young Creative Technologist Award 2018

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This project contains work done for the Young Creative Technologist award. The end product of this project is a proof of concept that tests AWS Rekognition against an image collection stored in S3, displays bounding boxes around recognised faces, and searches for similar faces in an image collection.

Project setup

The project runs so that the facial bounding boxes are stored in JSON files alongside images in S3. Steps to create the JSON files are as below:

  1. Ensure that images are uploaded to an S3 bucket. Only png and jpeg images are supported by AWS Rekognition.
  2. Set the name of the S3 bucket in script on this line, and set the desired name of the Rekognition face collection here.
  3. Navigate to the directory and run the script with npm start.

Architecture

The web application makes use of AWS for the backend. Images are hosted on S3, and facial detection and recognition is done by Rekognition. Calls to these services are handled through imageService, which uses serverless to host endpoints for the front end.

The front end is built using React.