A Pi Zero and Motion based webcamera that forwards images to Amazon Web Services for Image Processing
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Updated
Apr 14, 2019 - Java
A Pi Zero and Motion based webcamera that forwards images to Amazon Web Services for Image Processing
Aplicação Java + Spring Boot para autenticação facial usando Amazon Rekognition, Amazon S3 e AWS Lambda.
Using AWS Rekognition to extract credit cards number
AWS Rekognition, Elastic Search 등을 이용한 사진 자동 태깅 및 검색 안드로이드 어플👩💻
Face rekognition with Google Glass.
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.
Intellicrop is a AWS Serverless solution using managed AI/ML and facial recognition to intelligently crop images.
Develop the REST API for Face Recognition using Spring Boot & Amazon Rekognition.
Android app for text recognition using AWSRekognition services.
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 🐋🦐🔥
Application for management of food wastage and statistical analysis to predict food wastage
AEM Assets (DAM) AWS Rekognition integration for object and scene analysis, facial identification, text data extraction and meta data collection.
An android app allowing users to log their assets and recommend micro insurance policies based on value, using image recognition and machine learning. This project was created at HackThe6ix 2019, by Bob Bao, Hao Cong Su, Michael Dai, and Jarrod Servilla. Credits to Bob Bao for the detailed README, including the demo. The backend can be found here:
🌿 1인 가구를 위한 식재료 교환 플랫폼 🌿
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.
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