AIVON – An Open Network for Video, Powered by Artificial Intelligence & Human Experts



Blockchain has made it possible to issue just about any asset via a distributed ledger framework. With the aid of cryptocurrency tokens, these assets can be given economic value in order to initiate and validate several transactional processes. Several on-chain protocols have been developed by a number of startups and established companies alike in order to create blockchain-based solutions.

Media production and distribution workflows are increasingly shifting from a linear
chain to flexible and dynamic processes. This is fostered by advanced tools
for media creation and manipulation that blur the boundary between production
and post-production and by the fact that productions are today often made for
a broad range of target media and distribution channels. In addition, production
workflows become increasingly distributed, involving many contributors located
at different sites. Thus automation of workflows and metadata interoperability
between different workflow steps is of growing importance.

Artificial Intelligence is the development of computer systems that are able to
perform tasks that would require human intelligence.


AIVON is a decentralized blockchain media platform and protocol built on an Artificial Intelligence (AI) network and a community of human experts working together to generate normalized and enhanced video content for all humanity.

Furthermore, AIVON Network is a new decentralized protocol that’s created and made via the power of an AI system. Owners and innovators of the AIVON Network program put jointly research and hard work to solves many problems in video files meta data, the safety of content, and internet video file localization. The AIVON Network will apply AI to make sure the safety of data from violence, nudity, alcohol, adult, guns and offensive language to name a few. The AIVON Network will generate a confidence rate and turn it into a content graph for accurate demonstration and viewing by consumers.

The algorithms are deployed via mining nodes focus with filtering miners video files, CPU and GPU resources. It’ll also add video file transcripts, time-coded tags, and translations to index wanted and special media particularly content snippets.

In addition, this will help AIVON achieve broad adoption and network effects benefiting all participants. The blockchain implementation will achieve this with smart contracts between the content owners, advertisers, distributors and service providers. The smart contracts will maximize utilization by enabling dispatch of jobs to the most productive service providers and grant incentives to promote better quality.

AI Computer Vision (CV) algorithms running on nodes using CPU/GPU resources will be used to scan media files, generate enhanced metadata including time-coded tags, classification, categories, transcripts and translations, and an index of the video objects. Humans with expertise in tagging, editing, moderation, transcription and/or translation can participate in the AIVON shared economy to help with the verification, validation and/or creation of video metadata. AI Machine Learning (ML) algorithms will continually learn from the actions of the AIVON community to become better and smarter. AIVON will empower the community with tools to enable the community to moderate, review, verify the meta-tags, categorize, transcribe and/or translate content, as well as provide economic incentives to encourage this activity through AVO Tokens.

#AIVON #videosearchengine #tokensale #AI #videoadvertising #metadata

Software Developers

IVS will be developing at least the following two apps: a. Open Source SE and related API b. Ad matching service and related API.

Developers play a main part in the AIVON Network ecosystem by developing apps that interact with AIVON Network or utilize Content Graph.

Developers earn access to a list of non-confidential videos files processed by AIVON Network, with their corresponding Content Graph.

Developers would be capable to utilize AIVON Network to make new apps which they’d charge using their tokens.

The Categorization of Video on The Aivon Platform

Aivon is being developed on a hybrid blockchain foundation consisting of the Ethereum Mainnet used to support its native AVO token and the Plasma Network that will underpin the core platform. To classify their videos and receive metadata, content providers would need to upload them on the platform and offer an AVO reward pool, optionally making use of Aivon’s token credit program. Each video will be divided into clips that will be assigned unique identities and analysed by a convolutional neural network consisting of computer vision and machine learning algorithms.

This network will be distributed between AI Nodes being ran by ordinary users in exchange for a share of the AVO rewards. When necessary, the algorithms will be assisted by a network of freelance human experts, who will help with such tasks as transcriptions, translations, preliminary verifications and assigning more complex types of metadata and will receive AVO based on the quantity and quality of their contributions. Users could also stake AVO to run Validator Nodes, which will coordinate the network, assign tasks to human and AI participants, verify the end results and ensure the distribution of rewards through a proof-of-stake algorithm. They will also receive rewards but risk losing some of their staked tokens if they end up going against the final consensus.

The metadata gathered by Aivon will include video file properties, text, speech and face recognition and tags related to the video as a whole or some specific part of it. Once the analysis is complete, the original uploader could claim the reassembled video by providing the clip sequence and, if the claim accepted by the validators, receive its metadata. Aivon will publish a ContentGraph with each uploaded video, rating how appropriate it may be on the basis of such factors as adult themes, nudity, violence or offensive language. Software developers could then use Aivon and its Content-Graphs for their own video-related dApps. iVideoSmart intends to lead the way with an Open Video Search Engine (a metadata crawler governed by community consensus) and an ad matching dApp that may enable such innovative in-video advertising methods as digital product placement, ad overlays and interactive touch hotspots. AVO would, of course, be usable in those dApps as well.

Token Sale and ICO Details

AIVON Block-chain protocol releases ERC 20 tokens or also known as AVO token to incentivize and reward their members or consumers. The said token will also be applied as a type of payments in the entire AIVON system. The said podium has an Initial Coin Offering token supply of 350,000,000 and a hard cap mass of $18,000,000 USD. AIVON accepts currencies in either ETH or USD. The cost of one AVO is equivalent to = $0.16 USD.

Token Details

Token Symbol : AVO

Private Sales Start Date : 1 August 2018

Whitelisting Date : 1 October 2018

Public Sales Date : November 2018 (TBC)

Initial issue size : 400,000,000 (400 million)

Maximum issue size : 1,000,000,000 (1 billion, after 10 years)

Token Price : 6.25 AIVON to 1 USD

(token price in Ether will be fixed 48 hours before start of the


Hardcap Target : USD18,000,000

Token Distribution

The public will be offered 35% through the token sale, and the team (including founders and early backers of the project) will get 20% with 7.5% going to advisors. 22.5% will be set aside as for community development initiatives, while 15% will be reserved for future use.

#AIVON #videosearchengine #tokensale #AI #videoadvertising #metadata




NOTE: This article is just a guide to prospective clients, investors and every person scorching for a slice of this amazing project,

You can get more information about these project with huge potential by following the link below:



ANN Thread:










My Ethereum Address: 0xF6247f1c935D53F7f1aC16f6fcd529F58Ca3f15b


#AIVON #videosearchengine #tokensale #AI #videoadvertising #metadata



Publication author

offline 9 hours


Comments: 0Publics: 250Registration: 25-08-2018
Войти с помощью: 
Войти с помощью: 
Password generation