Application for management of food wastage and statistical analysis to predict food wastage
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Updated
Dec 4, 2017 - Java
Application for management of food wastage and statistical analysis to predict food wastage
Intellicrop is a AWS Serverless solution using managed AI/ML and facial recognition to intelligently crop images.
AEM Assets (DAM) AWS Rekognition integration for object and scene analysis, facial identification, text data extraction and meta data collection.
Aplicação Java + Spring Boot para autenticação facial usando Amazon Rekognition, Amazon S3 e AWS Lambda.
Springbootで画像分析・動画分析(AWS-Rekognition)を使用するサンプル
Lambda function to detect text fragments in images with AWS Rekognition.
Develop the REST API for Face Recognition using Spring Boot & Amazon Rekognition.
AWS Rekognition, Elastic Search 등을 이용한 사진 자동 태깅 및 검색 안드로이드 어플👩💻
This android app uses AWS Polly(NLP) and AWS Rekognition(CV).
Small projects in Java to learn how to use AWS services.
Android app for text recognition using AWSRekognition services.
Face rekognition with Google Glass.
A simple game of Arithmetics with a countdown timer, and is answered using Facial Expressions. Stack: Java Spring Boot, AWS DynamoDB, AWS S3, AWS Rekognition, AWS SQS, ReactJS, Redux, PusherJS 🐋🦐🔥
This project comprises of various APIs provided by Google, Amazon & IBM Watson. These APIs collectively perform some tasks like recognising people in image/video, finding and tagging objects in them, providing information through AI chatbot etc.
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