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.
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Updated
Feb 23, 2021 - JavaScript
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.
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 solution to assist with virtual proctoring of exams using Amazon Rekognition
Open innovation with 60 minute cloud experiments on AWS
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
Amazon Rekognition Code Samples
The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting
Detect Personal Protective Equipment using Amazon Rekognition
Apply different text recognition services to images of handwritten documents.
Vue2 + Amazon Rekognition + Amazon S3 + Progressive Web App With Face Detection
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.
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.
This project contains source code and supporting files for a serverless application which can be used for Computer Vision inferencing using Amazon Rekognition.
Serverless Hands-free Allergy Checker for AWS AI Hackathon. Uses Amazon Rekognition, Polly, Lex and Cognito.
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.
Coffee Bean monitoring tool using DRS and Amazon Rekognition
A script to retrieve image of automobiles from a pdf, spanning pages.
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