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.
A Sinatra app that takes images from the Twilio API for WhatsApp and uses AWS Rekognition to spot celebrities
Using AWS Lambda with face recognition
Generative AI Multi-Cloud application
AWS Amplify & Rekognition Web CAM App
Spring Boot Application consumindo uma fila rabbitmq e usando AWS Rekognition
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.
Twitter bot to determine what it is in an image
Searching that catchy movie or tv scene, now easier.
AWS aplication with serversless framework and nodejs
Compare faces in images using Amazon Rekognition - Node.js
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!
It prepares the demo of emotion garden.
Twitter bot powered by Amazon Rekognition and AWS Lambda.
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