commit	8f0e97b1ad56a4d13946a046463916e6c3f8edb1	[log] [tgz]
author	giolekva <giolekva@gmail.com>	Wed Apr 29 23:01:00 2020 +0400
committer	giolekva <giolekva@gmail.com>	Wed Apr 29 23:01:00 2020 +0400
tree	0ce28d9a094c390c859a3eec4ea56d4f5e602b5f
parent	00aa9724623d93a8ad5e0c3115917b495226351e [diff]

tree: 0ce28d9a094c390c859a3eec4ea56d4f5e602b5f

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.