commit	892a4e2f519f6335d43148619b4482ee7a496fdd	[log] [tgz]
author	giolekva <giolekva@gmail.com>	Mon Apr 27 16:46:22 2020 +0400
committer	giolekva <giolekva@gmail.com>	Mon Apr 27 16:46:22 2020 +0400
tree	d151dca7eceec6e9d75e0fc088e668326db38bc5
parent	01eb8790ccfeea1c249186c3fad10e49aace7813 [diff]

commit

892a4e2f519f6335d43148619b4482ee7a496fdd

[log] [tgz]

author

giolekva <giolekva@gmail.com>

Mon Apr 27 16:46:22 2020 +0400

committer

giolekva <giolekva@gmail.com>

Mon Apr 27 16:46:22 2020 +0400

tree

d151dca7eceec6e9d75e0fc088e668326db38bc5

parent

01eb8790ccfeea1c249186c3fad10e49aace7813 [diff]

tree: d151dca7eceec6e9d75e0fc088e668326db38bc5

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.