Once upon a time long time ago the thoughts of Robots and Artifical Intelligence was left to books and science fiction movies.
Artificial Intelligence (AI) has become a part of our daily endeavors and has changed the way we live our lives.
We now have smart homes where you basically can run your house by just speaking. We see AI used in banking, healthcare, education, to name a few areas.
We see AI used in some manufacturing, yet it is not close to its full potential.
Industry manufacturing will represent a $4 trillion by 2020. These industries consist of aerospace , automobiles, steel, mining, consumer electronics, medical supply, mining, steel, textiles, and many more. In China, not including the rest of the globe, there are over sixty million quality inspectors, costing companies $350 billion per year.
VisionX has a huge opportunity to tap into the quality control of a soon to be $4 trillion manufacturing industry. It typically takes a few months to put the inspection protocol together costing companies anywhere from $40,000-$150,000 to develop the protocol and a minimum of $40,000 to deploy the program. The average rate of accuracy rate in visual defect inspections is around 60-70% by quality inspectors. VisionX will provide AI solutions for visual defects inspections amongst the different industries. Their dataset for these manufacturing industries has over a million images to be used in the to detect imperfections, dents, holes, aged components, etc. Their Dataonomy Algorithm will continue to discover relevant data, which will grow the dataset, therefore constantly improving AI accuracy. By using VisionX's AI solution, it will take days to implement the quality protocol, with a cost saving of at least 30% to develop and deploy the solutions. Accuracy rates will be 95% or better.
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One huge obstacle faced by manufacturers is that individually they have different information to set up their quality control protocol. By using VisionX’s AI solution they will have the capability to gather an abundant amount of relevant, high quality copious data to further improve their existing solution.
VisionX will facilitate companies and organizations throughout the manufacturing community to collaborate in creating AI solutions to common challenges at the same time creating customizable solutions for their own more specific use cases.
It is built upon the patented edge computing architecture on a Decentralized AI cloud of the DeepBrain Chain ecosystem and is being incubated by the DeepBrain Chain along with being managed by the executive team members of the DBC foundation.
Incentivizing the contribution to and utilizing the network is broken down into three aspects. Participants will cut their costs by at least 30% by using VisionX AI solutions. Participants will receive VNX tokens for contributing data to the ecosystem. And lastly, through secondary smart contracts, thew will receive VNX for sales of AI solutions built with their data contributions.
The AI solution token incentive is distributed among AI solution/dataset builders 6%, the data contributor 15%, and VisionX Foundation 20%.
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3 billion VNX circulating supply
10 billion total supply
Here is a breakdown of circulating and total supply and the allocations and lockup periods based off information from the WhitePaper.
30%
3 Billion VNX
Allocation to Institutional investment, Community Development and Airdrops
VNX circulating supply is 3 billion. of that 2.5 billion are for institutional investment. .5 billion are for airdrops and community development. I think that is huge that half a billion is being set aside to create and award a community. For us early supporters that is a "Big pat on the back”.
10%
1 Billion VNX
Allocation to Vision X team
10% of VNX tokens=1 billion tokens goes to the Vision X team, but 20% of that 1 billion do not unlock until 2020 which is 2 years after VNX was launched in the markets. Then each month following 5% of those tokens will each month thereafter. So these tokens will not affect the circulating supply for two years from now.
10%
1 Billion VNX
Allocation to Deep Brain Chain
DBC is the incubator of the VNX project and they are allocated 10% of the total tokens which equate to 1 billion VNX. Again the same as the Vision X team allocation the 1 billion do not unlock until 2020 which is 2 years after VNX was launched in the markets. Then each month following 5% of those tokens will each month thereafter. So these tokens will not affect the circulating supply for two years from now.
15%
1.5 Billion VNX
Allocation to Vision X Foundation and Ecosystem
Now 15% of the tokens that equate to 1.5 billion tokens are allocated to the Vision X Foundation and ecosystem. 10% of these tokens are released each quarter after VNX went to market. This means 150 million we be released each quarter starting in Q1 2019. So only 600 million a year will be added to circulating supply. So the full 1.5 billion will take 2 1/2 years to get into circulation.
35%
3.5 Billion VNX
Allocation to Mining X-industry Customers and Partners, AI developers, Contributors of data and service)
In Q1 of 2019, the TestNet should be live and public mining of VNX tokens will start. 35% of the tokens which equates to 3.5 billion VNX will be allocated to mining. In the first 5 years of mining 250 million will be produced each year for the first 5 years which is 1.25 billion tokens. Then every 5 years after that half the 1.25 billion tokens will be produced and every 5 years increments after that 1/2 of the previous total will be mined and so on and so on. With that said the initial 250 million a year will for the first 5 years we would calculate into the circulating supply which is really not much proportionately.
Lastly according to the white paper Vision X will burn up to 50% of coins in circulation with profits they make. (Although there is no schedule posted in White Paper for token burn).
WhitePaper
Overall a very good read. And gets the point across. Real good information here.
https://www.visionx.org/wp-content/uploads/2018/10/VisionXwhitepaper-EngV2.pdf
Partnerships
China Coal Technology & Engineering Group Corp- Scientific research company dealing with developing, manufacturing, selling and serving for safety monitoring and control systems, production automation systems and communication products for coal mine, integrating scientific development, project design, process and manufacturing, system integration and project installation and service together. https://finance.yahoo.com/news/visionx-using-ai-visual-inspection-010000672.html
Bishijie- A world platform for digital currency investment, In addition providing the industry’s leading information, the social and personalized token community and smart real-time market has become the largest user in China and South Korea. https://www.bloomberg.com/research/stocks/private/snapshot.asp?privcapId=555973911
Taobase- A platform that implements trusted business connections and establishes mutual participation incentives built on AI blockchain technology. https://www.taobase.com/login/about#
GOBI Partners- Gobi fund's strategic investors include The McGraw-Hill Companies, IBM, and Steamboat Ventures (Disney's venture capital sector), etc. https://medium.com/@DeepBrain_Chain/deepbrain-chains-silicon-valley-lab-receives-strategic-investments-from-european-american-giant-bdc7ff547429
Hello Capital -Deals with investment, incubation, and service to help the growth of high-quality blockchain projects. . They have successfully invested and managed more than 50 blockchain projects, including DeepBrain Chain, SelfSell, EOS and other blockchain high quality projects. http://hellocapital.net/
Fujian Dragon AI Cloud Computing Center-which totals 1 Billion RMB. https://medium.com/@DeepBrain_Chain/deepbrain-chain-closes-1-billion-rmb-deal-with-dragon-ai-cloud-computing-center-to-purchase-mining-611d8dd781c4
Management
Chuanfeng Lee, President of Foundation
Secretary General & CMO of DeepBrain Chain, Director of China Audio Association, Founding member of Advanced Audio and Video Industry Association of Pudong New Area, Shanghai, China.https://sg.linkedin.com/in/chuanfeng-li-23b846152
Dr. Dongyan Wang, Chief AI Officer
20 years of Silicon Valley experience in artificial intelligence, blockchain, business intelligence and data science, leading world class, industry award winning, global high-tech organizations as senior executive for Global Fortune 500 enterprises (Cisco, NetApp, Midea Group, Samsung) and startups.
https://www.linkedin.com/in/dongyanwang
Dr. Harry Gu, Chief Technology Officer
30 years of RD and management experiences with AI, Vision and Robotics in Panasonic, Konica-Minolta, Midea Group etc. Dr. Gu as initial tech member participated in three AI Startups.
https://www.linkedin.com/in/haisong-gu-17296929
Hua Zhou, Principle AI Engineer
18 years’ experience in AI, high performance computing, chip design and software development within companies like Microsoft, Freescale and Midea Group..
https://www.linkedin.com/in/hua-kevin-zhou-7705617
Dr. Yu Zhu, Senior AI Engineer
Published more than 10 research papers on top AI conferences and journals, with extensive experience in developing large scale distributed deep learning platforms and conducting research in deep learning and computer vision.
https://www.linkedin.com/in/csyuzhu
Dr. Wanxin Xu, Senior AI Engineer
Dr. Xu holds a PhD degree in Electrical Engineering from University of Kentucky. Her graduate research mainly focused on 2D/3D image manipulation and human motion capture for visual privacy protection.
https://www.linkedin.com/in/wanxin-xu-a7222374
Rhyan Cook, Global Community & Market Development
Background working in computer software and cutting-edge electronics fields. Founded Virtual Reality Gaming Centre and 3D Printing businesses in Australia.
https://au.linkedin.com/in/rhyan-cook-b90739145
Advisors
Yong He, Advisor
CEO of DeepBrain Chain. He was enrolled in a Ph.D. program at East China Normal University and Chinese Academy of Sciences. As an artificial intelligence expert, he holds the title of Innovation Character of the Shanghai computer industry. He started research on bitcoin and blockchain technology in 2014.
https://cn.linkedin.com/in/yong-he-2a3a5614b/en
Hongquan Jiang, Advisor
As a “deep tech” investor he has led multiple successful investments in the area of IoT, artificial intelligence, augmented reality and Automotive in the last decade in Europe, US and China.
https://de.linkedin.com/in/hongquan-jiang-77802a8
Kang-Hyun Jo, Advisor
Skilled in Matlab, Computer Science, Computer Vision, Artificial Intelligence, and Lecturing. Strong education professional with a MS. and Ph.D. focused in Control and Robotics Engineering.
https://www.linkedin.com/in/kanghyun-jo-a0791a2a/
Roadmap
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Some key milestones to look forward to
Q1 2019
Expand outreach to customers in multiple industries with Visual defect detection.
Development of Hardware/Software for predictive maintenance and robotics pick and place.
Public mining of VNX tokens and tokenomics, TestNet to go live.
Q2-4 2019
MainNet to go live which will connect companies and users of industires.
VNX community boosting with data contributors and business to business partners by way of model/data marketplaces.
Broaden datasets and AI solutions for use cases and different industries.
My Conclusion
Through my research, I find the VisionX project to be very promising. Here are the factors I base my opinion on.
(+)The management and advisors have great resumes to help the project go forward.
(+)The partnerships that they have currently are strong and they are constantly working for new partnerships.
(Neutral) I would like to see a stronger marketing effort to evangelize the VisionX project. Other than passing the word through DBC only a handful articles and information has been circulating around. Need More meet-ups and conventions scheduled. AMA’s scheduled.
(Neutral) Social media efforts are through twitter, reddit, telegram. I would like to see it expanding to other social media sites, facebook, instagram, etc.
(+) The token metrics leave it open to keep the VNX token in demand.
(+) The overall premise of tapping into a industrial market of $4 trillion dollars is a great opportunity. Saving Manufacturers at least 30% of cost, plus working protocol in days vs. months.
(Neutral) The overall roadmap seems broad, I would like to see more concise milestones to be reached.
VNX is only around two weeks old as of this writing so it may not be fair as my opinion expresses. but I do feel that as long as the VNX team works on:
Tuning up their roadmap with more concise times of completion, break down the milestones to attain more exact.
Continuing to agressively create strategic partnerships
Expanding Social and Traditional Marketing efforts
Delivering a working product/service
VNX will be successful going forward, giving the early adopters of VisionX just rewards for their faith in them.
You can pick up VNX on the following exchanges:
Information used for research are based on the links throughout this article and including.
https://www.visionx.org/
https://www.deepbrainchain.org/
https://twitter.com/VisionXGlobal
https://t.me/VisionXGlobal
https://www.youtube.com/channel/UCp2nv-fSaKgrTdP0QfthDoA
https://www.reddit.com/r/VisionX/
This article is not meant as investment advice. It is based on my own research and opinion. Please do your own research and due diligence when it comes to investing into any type of investment vehicle.