commit	79323907da612e8d2d497f429555a9edc03d03e6	[log] [tgz]
author	giolekva <giolekva@gmail.com>	Sat May 16 13:52:19 2020 +0400
committer	giolekva <giolekva@gmail.com>	Sat May 16 13:52:19 2020 +0400
tree	7bcd5dff6d8632f079e46e3b7ffa831f9d5ae6b0
parent	d6cbd8f4b581a4e5b9cb24d65a69e7c4c6b8817e [diff]

tree: 7bcd5dff6d8632f079e46e3b7ffa831f9d5ae6b0

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.