Aplicação serverless usando Amazon Translate e Amazon Rekognition para analisar imagens
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Updated
Oct 2, 2020 - JavaScript
Aplicação serverless usando Amazon Translate e Amazon Rekognition para analisar imagens
Traffic Guard portal for users
AWS CloudFormation template for creating resources for a static website on an S3 bucket with an application for painting drawings according to the selected topic, where it is checked whether the drawing coincides with the topic using Amazon Rekognition image analysis.
Chainlink external adapter for requesting content moderation labels from Amazon Rekognition on an image hosted on IPFS. Moderation labels are pinned to IPFS and content hash is returned (converted to bytes32 format)
Attendance System backend services.
realtime video recognition and notifications
Compare faces in images using Amazon Rekognition - Node.js
Discover how you can migrate from traditional deployments to serverless architectures with AWS
A script to retrieve image of automobiles from a pdf, spanning pages.
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
Serverless Hands-free Allergy Checker for AWS AI Hackathon. Uses Amazon Rekognition, Polly, Lex and Cognito.
Vue2 + Amazon Rekognition + Amazon S3 + Progressive Web App With Face Detection
The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting
A demo to test Custom Labels with models trained by Amazon Rekognition
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 solution to assist with virtual proctoring of exams using Amazon Rekognition
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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