A collection of lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and tell and translate the picture labels with Polly.
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Updated
Oct 29, 2019 - Python
A collection of lambda functions that are invoked by Amazon S3 or Amazon API Gateway to analyze uploaded images with Amazon Rekognition and tell and translate the picture labels with Polly.
Network camera image analysis using Amazon AWS infrastructure. Notification is sent when object detected on video stream.
An application to show the capabilities of Amazon Rekognition and its several APIs built using Streamlit.
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.
Detect Protective Equipment with AWS DeepLens and Amazon Rekognition.
장면 인식을 통한 해시태그 자동완성 및 검색 API
This repository provides a step-by-step setup of Amazon Rekognition’s Streaming Video Events for connected home use cases.
Apply different text recognition services to images of handwritten documents.
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.
This repository contains the implementation of various AWS AI Services.
An image is uploaded to the S3 bucket under the S3 upload event triggers the Execution of Lambda function, which kicks off an execution of AWS Step Functions, passing in the S3 bucket and object key as input parameters.
Personal Protective Equipment detection demo showed at AWS re:Inforce 2019: source code and materials.
Welcome to SyShop's Backend! SyShop is a web application created to help small businesses. With SyShop, entrepreneurs have a tool to start in ecommerce. 🛍️🛒🏪
A solution that harnesses the power of Generative AI to streamline the user onboarding process for financial services through a digital assistant.
facial-recognition–based access control system using AWS services. The solution comprises two AWS Lambda functions (registration & authentication), API Gateway endpoints, an Amazon Rekognition collection, DynamoDB for user storage, and a ReactJS frontend for visitor interactions.
Dataiku DSS plugin to use the Amazon Rekognition APIs 👀
Here's a detailed step-by-step guide on how you can work on your Face Recognition Attendance System using AWS, covering daily activities, instructions, and sample code for each phase.
A simple Python application supporting face based user verification using Amazon Rekognition and Polly, and verbal instructions using Google API speechrecognition.
This project contains source code and supporting files for a serverless application which can be used for Computer Vision inferencing using Amazon Rekognition.
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