commit	0f503aafb5cb6a5a3c8ac6aeccea4dd873beac1f	[log] [tgz]
author	giolekva <giolekva@gmail.com>	Mon Apr 20 22:41:06 2020 +0400
committer	giolekva <giolekva@gmail.com>	Mon Apr 20 22:41:06 2020 +0400
tree	2b50b5c8f993ae4dc5feb00411d4d2b61b3d45b0
parent	cba39b83c41ab703fbbb9d58631efc0f0febf56b [diff]

tree: 2b50b5c8f993ae4dc5feb00411d4d2b61b3d45b0

README.md

PCloud

PCloud is a set of distributed infrustructure tools meant for setting up a personal cloud on commodity hardware such as Raspberry Pi. Goal of the project is to provide:

Blob storage: distributed file storage with configurable replication for redundancy
Namespace service: built on top of Blob storage to expose it, at least in read only mode, as a mountable file system
Metadata service: storing Blob annotations such as objects and their locations detected in the pictures
Search infrastructure: to index Blob metadata and provide search API
App infrastructure: to easily set up and run third party applications such as custom in picture object detection models

To prove viability of the project first milestone will be to build fully functional image storage and indexing infrustructure. User experience setting it up will look something like:

Set up PCloud on 3 or more servers and pair mobile device with it
Configure IFTTT (if this then that) like worklfow to automatically:
- Back up every newly taken picture on PCloud
- Run face detection app on backed up pictures and store this information in Metadata service
- Index face annotations and make them searchable

User must be able to configure all of these from previously paired mobile device.