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
Nov 29, 2017 - 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.
Implemented a photo album web application, that can be searched using natural language through both text and voice.
Using AWS Lambda with face recognition
Generative AI Multi-Cloud application
AWS Amplify & Rekognition Web CAM App
This project is aim to develop an application that can use existing AWS services to retrieve images from S3, perform image detection by AWS Rekognition, and establish communication between two EC2 instances via AWS SQS.
Twitter bot powered by Amazon Rekognition and AWS Lambda.
In this example I show how using aws-rekognition we can extract data of interest from the Argentine national document. The script consists of loading, processing and complete parsing of the response
Serviço de backend para processamento de fotos e validações server side quanto a aspectos do rosto, como emoções e região de interesse.
An image repository featuring an automated system to censor inappropriate content
Modelo do AWS SAM que implanta um aplicativo sem servidor. Esse aplicativo usa serviços do Amazon ML, como Comprehend e Rekognition, para indexar documentos e imagens e, em seguida, envia os resultados ao Elasticsearch para indexação rápida.
AWS aplication with serversless framework and nodejs
ImageLabelerPro is a serverless AWS Lambda function for automatic image labeling using Amazon Rekognition. This project detects labels in images uploaded to an S3 bucket and stores the results in a separate bucket. Enhance your image processing workflows effortlessly!
A serverless chatbot using AWS Lambda and the Serverless Framework
Serverless Image recognition Bot 🤖
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