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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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 is a library for the Go language to detect text from images. It uses Amazon Rekognition or Google Cloud Vision for text detection.
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.
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!
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.
Outside Hacks 2017 submission
Image processing with aws
Real-time Image Extraction and Processing from Security Cameras using AWS Rekognition and Lambda
A simple Node.js application to detect labels within an image using AWS Rekognition.
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