Amazon Rekognition

Abstract

Cloud-based face recognition (CBFR) makes automated face detection and matching accessible based on its negligible start-up costs, volume-based pricing model, and streamlined application programming interfaces (APIs). In contrast to traditional face recognition solutions – whose implementation costs, licensing models, and development effort can pose barriers to entry to newcomers. CBFR prioritizes low cost, simplified deployment. Using artificial intelligence and machine learning on AWS to create engaging applications. Amazon Web Services (AWS) is the right place to start if a beginner is interested in learning useful artificial intelligence (AI) and machine learning (ML) skills using Amazon WebServices (AWS), the most popular and powerful cloud platform. Amazon Rekognition is a cloud managed service that makes it easy to add image analysis to applications. Using AWS Rekognition, one can build applications to detect objects, scenes, text, faces or even torecognise celebrities and identify inappropriate content in images. Some of AWS Services used in analytics include following like it can capture, transform and load streaming data into Amazon S, Amazon Redshift, Amazon Elasticsearch Service, enabling near real time analytics with existing business intelligence tools and dashboards