Building a Cricketers Facial Recognition System with AWS Rekognition | PART-1

Building a Cricketers Facial Recognition System with AWS Rekognition | PART-1

1.972 Lượt nghe
Building a Cricketers Facial Recognition System with AWS Rekognition | PART-1
Welcome to our step-by-step tutorial on creating a Facial Recognition System powered by AWS Rekognition! In this video, we'll guide you through the entire process, from setting up the necessary infrastructure to deploying a functional web application using Docker. Step 1: Setting Up Infrastructure - Creating EC2 Instance: We'll start by launching an EC2 instance to serve as our computing environment. - Configuring AWS CLI: Learn how to configure the AWS Command Line Interface for seamless interaction with AWS services. - Creating AWS Rekognition Collection: We'll create a Rekognition collection to store and manage face data effectively. - Cloning GitHub Repository: Get hands-on with cloning a GitHub repository containing essential resources for our project. Step 2: Configuring Core Components - Creating S3 Bucket: Set up an S3 bucket to store images and other resources. - Creating DynamoDB Table: Learn how to create a DynamoDB table to store metadata and other relevant information. - Creating Lambda Function: Discover the process of creating a Lambda function and configuring an S3 bucket as a trigger. Step 3: Implementing Facial Recognition - Uploading Images to S3: Upload images to the S3 bucket, triggering the Lambda function to generate face prints. - Generating Face Prints: Witness the Lambda function in action as it generates face prints of uploaded images. - Storing Face Prints in DynamoDB: Explore how face prints are uploaded to the DynamoDB table for efficient storage and retrieval. - Running Web Application with Docker: Finally, we'll deploy a web application using Docker, showcasing the integration of our Facial Recognition System into a user-friendly interface. Join us on this journey as we dive into the world of AWS Rekognition and build a powerful Facial Recognition System. Don't forget to like, share, and subscribe for more tutorials on AWS services and cutting-edge technologies! Support my work: https://buymeacoffee.com/devopsmaster GitHub : https://github.com/ansarshaik965/FaceRecognition.git Linkedin: https://www.linkedin.com/in/ansarshaik965/ Thanks For Watching