https://github.com/okandavut/aws-webrtc-recognition-example
Example with WebRTC , AWS Rekognition :+1:
https://github.com/okandavut/aws-webrtc-recognition-example
amazon aws nodejs rekognition webrtc
Last synced: 10 months ago
JSON representation
Example with WebRTC , AWS Rekognition :+1:
- Host: GitHub
- URL: https://github.com/okandavut/aws-webrtc-recognition-example
- Owner: okandavut
- License: apache-2.0
- Created: 2017-04-26T06:16:41.000Z (about 9 years ago)
- Default Branch: master
- Last Pushed: 2017-04-28T08:26:51.000Z (about 9 years ago)
- Last Synced: 2025-04-23T10:24:08.005Z (about 1 year ago)
- Topics: amazon, aws, nodejs, rekognition, webrtc
- Language: JavaScript
- Homepage:
- Size: 13.7 KB
- Stars: 18
- Watchers: 3
- Forks: 2
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE.txt
Awesome Lists containing this project
README
Simple Detect Face Example With AWS Rekognition and WebRTC Library
-------------
[](http://hizliresim.com/7qL6DN)
-------------
Technologies:
- Amazon Rekognition
- Nodejs
- WebRTC (WebRTC is an open framework for the web that enables Real Time Communications in the browser)
Project Setup
-------------
1. Setup AWS CLI : [Aws CLI Installation](http://docs.aws.amazon.com/cli/latest/userguide/installing.html)
2. Configure AWS from command line: `aws configure AWS`
3. Enter AWS informations :
[](http://hizliresim.com/GBJ90Z)
4. Create bucket on AWS . Bucket Name : "testBucket" .[Create a Bucket](http://docs.aws.amazon.com/AmazonS3/latest/gsg/CreatingABucket.html)
5. Setup NodeJS on computer.
6. Go project folder in command line and run this command: `npm install`
7. After run npm install run this command : `node sample.js`
8. Run Index.html on browser..