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Faceter
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Faceter is the first decentralized surveillance system for consumers. Faceter makes video surveillance smart, giving brains to cameras through enhanced face detection, object detection and real-time video analysis. These features allow cameras to understand the situation and respond to it, offering much better security to all the customers.
At Faceter’s technological core is the absolute respect for privacy, and the utilization of the features of convolutional neural networks to split the tasks reinforces this commitment. As a result, sensitive data is always processed in a completely trusted environment, and all images not subject to recovery are passed to the decentralized network.
Faceter is the first decentralized surveillance system for consumers. Faceter makes video surveillance smart, giving brains to cameras through enhanced face detection, object detection and real-time video analysis. These features allow cameras to understand the situation and respond to it, offering much better security to all the customers.
Usual computer vision technologies are expensive to develop and require the additional expense of requiring substantial computing resources to run. Only a few very expensive B2B solutions have computer vision and video content analysis implemented as a part of their technology stack. As a consequence, their technologies are still very early-stage compared to the possibilities offered by the vast potential of neural networks.
Computer vision technology on the blockchain powered by a decentralized network of miners makes the product affordable for all-sized businesses and mass market consumers. The benefit from a mining perspective is that a contribution of miner's resources to Faceter is twice as profitable as the mining of Ether on the same Graphic Processing Units.
At Faceter’s technological core is the absolute respect for privacy, and the utilization of the features of convolutional neural networks to split the tasks reinforces this commitment. As a result, sensitive data is always processed in a completely trusted environment, and all images not subject to recovery are passed to the decentralized network.
Icodriver...expert launching ICOs, ICO Influencer, IT expert. Rated on May 23, 2018
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3%
First they let the community vote to postpone the entrance in exchange for one month with the promise they will not work with hitbtc because they cannot be trusted. And that the tokens will be unlocked until the entrance of the first official exchange. After one month the first exchange will be hitbtc and tokens are already unlocked before entering the exchange. There are too many lies and there is totally no respect form contributors and the community.
These situations create damage for contributors and the crypto world and particulary for the icos. People start to not trust.
ICO Advisor, 50+ ICOs since 2016, Founder and Publisher of Blockchain News, partner Blockchain Partners, founder Cryptoassets Design Group Rated on Feb 13, 2018
4
5
5
3%
I really like this - it's fresh. We see so much of the same thing over and over with emerging ICOs and it's great to see creativity in action and new idea. Security is a brilliant space that is under addressed in the ICO scene. Good luck guys, Great vision, great product but you could beef up your advisory board a bit.
I like this a lot, sound plan and team. Wondering how they compare with say Seequestor and would Seequestor be a competator or possibly a partner. Many angles for revenue streams , nice
Business strategy, investment deals, investor relations Rated on Mar 9, 2018
5
5
4
3%
The main question is how well can this be technically realized?
On the example of torrents, we know that distributed storage of large files works well. Is it okay to make distributed processing of video files? It will require much more complex and heavy software on the client side. Unlike torrents, it will be required to complete the intermediate work on the client side, this will create appreciable delays in time and a large percentage of losses of the work done ...
Award-Winning Author | Angel Investor | STO and ICO Advisor | UN Consultant | INSEAD MBA | Advisor Polymath, BitBlock Capital, Fiat Capital Fund | Rated on Apr 17, 2018
4
5
4
3%
Good idea and vision - quite unique! Will follow this project!
Founder(Blockslab & ZTips) | Smart Contract Development & Auditing | Blockchain Research | White-paper Development & Analysis | ICO Adviso Rated on Feb 4, 2018
5
5
5
2%
I m really impressed by the product, vision and team here. It will be really disruptive if its use case can be further extended to C2C or B2C side.
Blockchain Advisor, Blockchain Expert, ICO Investor, Product Manager, Project Manager, Trader, Lecturer, Jack of All Trades Rated on Jun 22, 2018
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4
5
2%
It is good that the team is already experienced on the security camera industry. I believe their vision is great and the product is already almost there.
I believe this project has a good future.
However, the token price has gone down rapidly. I hope the team has a plan for a recovery.
ICO Analyst|Content Writer|Trader| CFA Charterholder|Consultant Rated on Mar 7, 2018
4
5
4
2%
Strong team and great vision. Can't wait to see how this pans out! Great job creating an alpha before the crowd raise. I believe this team can deliver!
Engineer, Business Developer and Crypto Expert Rated on Feb 28, 2018
5
5
4
2%
A great team, plus a great experience in the field of the target business and the blockchain create the best premises for the success of this ICO
Top marks for team and vision, since they may really create a revolution in the field.
Product not really original, but still a great field of development!
Early Bitcoin Holder / Ethereum ICO Investor Rated on Jan 24, 2018
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5
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2%
A real team with a real vision & product on table.
I am impressed and I think it will be a true B2B solution that will be used in REAL life by big companies that are over spending in security area.
Robert PothierICO team member replied on 2 Feb 2018
Thank you Paun,
I appreciate your feedback. Did you know that Faceter is the first to combine facial recognition with fog computing and data mining to create a product that is affordable for the mass market. This popular topic has won the hearts of many in a short period of time.
Our team consists of more than what is listed in the white paper. We have over 30 developers overseen by Vladimir who has over 20 years experience in machine learning and computer vision and recognized as a top developer for all his projects. Our ICO experts are also the best in their industry.
If you could give us some feedback as to where you find our team could improve, we can look at it.
Entrepreneur, Investor, ICO Analyst Rated on Feb 12, 2018
5
5
5
1%
- Strong team with relevant experience
- Demanded product with a large market potential
- Unique product
- Attractive token model
- Solid business model with great long-term strategy
- Good media coverage
I rarely rate project with 5/5/5 but this project deserves high rating.
CTO @ Blockchain Advisory, Founder @ Immersive Authority Rated on Jun 21, 2018
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3
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1%
Well researched white paper from the business perspective, but there are technical and implementation questions that I still have.
Regarding the paragraph in the whitepaper; "Faceter hardware solutions
Priority is given to close cooperation with suppliers of video surveillance
equipment. It is also planned to develop proprietary and co-branded video
cameras capable of performing primary video stream processing and its
obfuscation on embedded chips optimized for Faceter algorithms". What progress are has been made with the large cctv companies like Dahua, Hikvision and Axis, to bring this computing power to the edge?
What hardware will miners require to process the data. High-end specialised graphics cards that can process image data on existing pc's in idle time, or dedicated and specialised hardware?
The Proof of Recognition protocol is new to me. How many nodes are required to validate a transaction? How are nodes selected? What are the image quality requirements (720p, Full HD, etc)?
The tracking of particular people over different time periods (e.g. the employee or criminal use case): To what do you reconcile your "a person" data to an actual subject of interest?
This project steps deeply into the personal data privacy space, and I don't see any legal specialists on the team. These issues need to be addressed upfront and can;t be an afterthought, with different data privacy regulations in different jurisdictions.
Great team, however the product is basically invasion of privacy. Facial recognition is nothing new, only combining utility token model with "mining" doesn't make it a standout product. It will be great to see how Faceter holds up in five years time.
Advisor and Consultant | Blockchain, Business Operations and Strategy, Product Management and Design | 10+ years in the Tech Industry Rated on Mar 25, 2018
4
5
4
1%
This rating's weight is reduced by 50% as there is no review added.
Co-founder at RQDN Labs, Author, ICO Investor Rated on Jan 27, 2018
5
5
3
1%
In terms of what you want to see in an ICO, this ticks all the boxess, especially the info on the team and the product. The whitepaper is comprehensive and well-written.
My main concern is on the product side: why use a decentralized approach at all? The product has been around for 5 years amd seems like it has already achieved some success.
Over-all, they do a great job of building credibility and communicating their goals.
Robert PothierICO team member replied on 2 Feb 2018
Hi Regnard,
I appreciate your review.
Computer vision started with pay.cards and it was the best on the market that we could find; offered as a free SDK to build business relations. It was less than a year ago that we developed Faceter which has only started with facial recognition.
Decentralized/fog computing is one of our most crucial developments - we are the 1st to be combining facial recognition with fog computing - why?: because computer vision utilizes a lot of computer power, by using fog computing, we are able to utilize the video analytics power of miners making an affordable product for the mass market.
As this was unclear, I would appreciate a higher product score and thank you in advance for your review.
Crypto-currency enthusiast, ICO Analyzer Rated on Jan 31, 2018
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5
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Team:
- seems like a good team with previous experience in software development and facial recognition. The reason I give them a 3 is because some linkedin profiles are poor and have not even a single connection, which mean they probably just created for the ocassion (not meaning they are fake).
- Vision:
I think they try to solve a real problem and that surveillance sector is a really profitable one.
- Product;
Is nice to see that they already have a basic MVP to show how the real app would work. My only concern is that i don't clearly see why blockchain is required for this project.
Experts are independently and voluntarily contributing to the community. If no expert has rated the ICO, only ICO analyzer's results are used. Always research before investing as these ratings should not be taken as an investing guide of any kind.
Ratings and ICO analyzer results are being updated (re-calculated) every few hours.
Alpha version of Faceter for B2B is released
Proof-Of-Concept of Faceter for mass-market (centralized version)
3
2018
Token SaleBuilding modular architecture and adapting Faceter to fog computing networks to reduce computation costs
Developing Android, iOS, Apple TV applications Developing a module for classifying individuals in videos to augment the event-based model with the following features: sex, age, race, emotions
New team members: growing IT department
Launching beta version of Faceter running on a fog and starting sales in the mass market segment
Adding a “user friendly” option: store video archives in decentralized IPFS-based storage providers
4
2019
Developing integrated solutions in collaboration with hardware vendors
Tracking visitors with partially or completely hidden faces.
Recognizing body type features: height, weight, build New team members: sales and business development specialists
Vehicle detection and recognition in video, including recognition of numbers using cameras with sufficient resolution
Partnership agreements with video camera vendors regarding Faceter preinstallation
Developing a technology for detecting different events in the cameras’ scope: run, fall, fight, unattended items, hazardous situations (flame, smoke, vibration, non-standard noise etc.)
Launching a fully functional decentralized version of Faceter
