There are 10 repositories under amazon-rekognition topic.
A collection of 3 lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and save picture labels to ElasticSearch (written in Kotlin)
A working prototype for capturing frames off of a live MJPEG video stream, identifying objects in near real-time using deep learning, and triggering actions based on an objects watch list.
Apply different text recognition services to images of handwritten documents.
Serverless web app for streaming browser webcam feed to Amazon Kinesis Video Streams and Rekognition Video. See our post on the AWS Machine Learning Blog: https://aws.amazon.com/blogs/machine-learning/building-automatic-analysis-of-body-language-to-gauge-attention-and-engagement-using-amazon-kinesis-video-streams-and-amazon-ai-services
A demo to test Custom Labels with models trained by Amazon Rekognition
Open innovation with 60 minute cloud experiments on AWS
A solution to assist with virtual proctoring of exams using Amazon Rekognition
The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting
Amazon Rekognition Code Samples
Vue2 + Amazon Rekognition + Amazon S3 + Progressive Web App With Face Detection
Detect Personal Protective Equipment using Amazon Rekognition
This is an application for analyzing the content of images and videos. It includes a GUI and back-end analytical workflows. It is the reference application for the Media Insights Engine.
Personal Protective Equipment detection demo showed at AWS re:Inforce 2019: source code and materials.
A script to retrieve image of automobiles from a pdf, spanning pages.
This repository provides a step-by-step setup of Amazon Rekognition’s Streaming Video Events for connected home use cases.
This project contains source code and supporting files for a serverless application which can be used for Computer Vision inferencing using Amazon Rekognition.
This repository contains sample app code to build an object and text detection web app. An individual can upload images that contains real world objects or text, and get the labels for all the detected objects and texts in the image.
Application that tries recognize pokémons analyzing an photo (a.k.a pokédex). Built to AWS Cloud.
This repository offers a UI component for Amazon Rekognition Face Liveness, enabling developers to ensure that only authentic users, and not bad actors using spoofs, can access their services.
Speech and image text translator with Amazon Translate, Rekognition and Polly. See my blog post https://medium.com/@ceyhun.ozgun/you-cant-fail-to-learn-a-new-language-with-these-aws-ai-services-translate-rekognition-polly-caa5807dec36
This repository contains a series of 4 jupyter notebooks demonstrating how AWS AI Services like Amazon Rekognition, Amazon Transcribe and Amazon Comprehend can help you extract valuable metadata from your video assets and store that information in a Graph database like Amazon Neptune for maximum query performance and flexibility.
Attendance System backend services.
An Integration of Amazon Rekognition and Flutter for Tracking Drivers’ Eyes to Prevent them from Sleeping.
Serverless Hands-free Allergy Checker for AWS AI Hackathon. Uses Amazon Rekognition, Polly, Lex and Cognito.
Coffee Bean monitoring tool using DRS and Amazon Rekognition
A Serverless Facial Recognition Voting Application built entirely using AWS services and adheres to established best practices and uses the Event-Driven pattern.
A e2e demo of serverless technologies
A Smart Door authentication system is a distributed system that uses Kinesis Video Streams and Amazon Rekognition to authenticate people and provide them access to a virtual door.
Elasticsearch ingest processors using Amazon Rekognition for image processing
This repository aims to show how to use Amazon Rekognition API in Jupyter Notebook.
Source code for a Media Intelligence Video Analysis solution that can identify specific elements in video content. This layer is the basis for identifying and indexing video analysis elements that in the future can be used for finding specific scenes based on a set of rules.
Compare faces in images using Amazon Rekognition - Node.js