of User Generated Video Files
Tokens sale starts in:
How it works
PROVER is an independent assistant that helps authenticate and verify video content
This online-service was created using blockchain technology. The platform was created to eliminate forgery of video materials, and confirm their authenticity.
PROVER can work either as a stand-alone web/mobile app, or as an integrated solution into 3rd party platforms using APIs and extensions.
Video becomes unique using a swype-code
A code is generated during recording when the user moves the phone up, down, left, right and diagonal, thus creating a unique swype-code pattern for every video.
After you have recorded video, the PROVER remembers the unique swype-code and hash of videofile
What is PROVER
The PROVER service consists of several components:
- 1. A mobile app that launches the camera
- 2. A set of algorithms and utilities for integrating PROVER technology into third-party solutions and services
- 3. On-chain part - PROOF smart contract (only for implementation based on the Ethereum platform)
- 4. The off-chain part consists of the frontend, backend, scripts and utilities for working with Ethereum and NEM blockchains
SWYPE ID app lets users record video files and sign it the unique swipe code randomly generated by the PROVER smart contract:
- 1. User moves the smartphone up, down, left, right or diagonal in a certain pattern during the recording (maintaining the integrity of the recording)
- 2. SWYPE ID creates a unique video sequence with embedded smartphone camera movements and hashes the file, creating a unique digital number
- 3. SWYPE ID addresses blockchain, which places the hash of the video file to the blockchain
- 4. User sends the video file to PROVER client (bank, insurance company, news media, etc.) to provide access to its services
- 5. PROVER client uses PROVER platform (frontend) or our open source algorithms directly to confirm the authenticity of the recording and to hash the received video file to confirm the hash was properly placed on the blockchain
If the record cannot be verified with SWYPE ID technology. For example, in action cameras, fixed video surveillance cameras, video recorders in cars, cameras in drones, digital cameras for journalism, blogging and video clips and many other cases. We develop Prover Clapperboard technology. Verification, in this case, is based on the algorithm of automatic detection of a special QR code inside the video stream:
- 1. User launches the Clapperboard app and inputs the text information which he wants to be saved in blockchain to be associated with the video
- 2. User sends entered text to the blockchain and gets the hash of the transaction and block, which contains this text in the blockchain. The hash of the transaction and block displays as a QR code
- 3. QR code appears on the screen of an app and user can capture it while filming the video by any kind of digital cameras
- 4. The user can check the video file with that QR code by uploading it using frontend or our open source algorithms directly. Video analytics finds and recognizes QR-code, searches for a block in the blockchain, then retrieves the stored information and detects the block time. If it found, the video is confirmed
Prover Potential Use Cases
Banks and financial services providers
Banks and financial services providers can verify clients during the customer onboarding procedure with lower risks of identity theft.
Clients can perform remote actions within the system.
Clients can record video evidence in case of insurance loss for insurance on demand and car sharing services.
Insurance companies can receive video evidence of performed services covered by insurance (medical, repairs).
Video proof of ownership
Individuals and organizations can store a timestamped video hash on Blockchain as a digital proof of ownership for original and authentic video content.
Public speakers, celebrities and businessmen preventing reputational damage from montage, CGI and rapidly growing sophisticated machine learning algorithms and tools able to edit or generate fake video statements.
Crowdsourced media platforms
Public and crowdsourced news platforms can validate the authenticity, exclusivity and timing of video news submitted by individual contributors.
Video platforms for user-generated content
Both users and platforms can prove the authenticity and exclusivity of user-generated video content and share monetization proceeds.
Home medicine and remote patient control
Doctors and insurance companies can be sure that patients are taking the prescribed drugs properly without keeping them in hospitals.
Users can be sure that they are chatting with a real person on video dating websites and services.
Outsourced work reports
Employers and contractors can exchange authentic and time stamped work reports.
Traffic accident reports
Both parties involved in a traffic accident can rely on a video recording to prove authenticity of time, date and record of the accident.
Parties can maintain a Blockchain video database of trusted "hand shake" agreements.
Home education / exams
Video recordings can be used to confirm authenticity of a particular person taking an online exam.
Tokens Sale detailes
Our goal is 5 000 000$, but we do not limit the collection, because it will make our project better
100 PROOF = 1$
For early investors:
115 PROOF = 1$
110 PROOF = 1$
For large investors:
120 PROOF = 1$
One-time investment of more than 50 000$
Why PROVER platform needs decentralization?
Decentralization is essential for PROVER users to guarantee the transparent process of video verification and eliminate trust issues to any particular black box protocol. User-generated video content needs an authenticity industry standard that will be used by third-party developers to create applications without the risk of being fraudulent or compromised.
Will the entire PROVER algorithm be in open source?
Yes, we are convinced that this is the only way to gain trust in PROVER protocol and allow third-party developers contribute to developing the platform and its features going forward to reach massive adoption.
Does PROVER get access to the user videos?
Neither PROVER nor SWYPE ID app gets access to the user videos. Video files are stored on users smartphones and are transferred to recipients directly.
How does the recipient confirm the authenticity of the video file?
The recipient runs PROVER algorithm when opening the video file to confirm its authenticity and hash on the Blockchain.
Video authenticity check on the recipient side requires processing power to perform certain calculations, can the calculations be performed in a decentralized manner as well?
We believe that in most cases processing will happen on either the recipient or the developer’s server. PROVER Platform does not aim to solve the problem of distributed computing, however, we are closely following the developments in this field.
PROVER team combines strong tech and business backgrounds. Our core IT team members have worked together for 10 years, implementing several large-scale IT-projects in machine vision and intellectual video surveillance systems. We adhere to the principles of openness and decentralization and aim to develop the Blockchain community and worldwide crypto economy.
PhD in Technical Sciences. Tech entrepreneur, founder of "Nordavind" group of companies. Software developer in the field of digital video surveillance systems, personal equipment and services for health (including the world-famous ECG Dongle and the CardioCloud service). Author of numerous scientific publications on information security issues, theoretical principles of programming and smart contracts.
A heavy-weight businessman with vast entrepreneurial experience in a number of industries—from ferrous metallurgy to wellness. Dedicated follower and advocate of healthy lifestyle. He can think big, express his thoughts in right words and turn words into successful projects. A virtuoso motivator and business visionary.
PhD in Technical Sciences. Co-author of the monograph "Method and algorithms for the separation of a useful signal against a background noise during the processing of discrete signals". Reviewer of the International Journal of IEEE Transactions on Image Processing, International Conference on International Symposium on Image and Signal Processing and Analysis (ISPA), International Conference on International Symposium on Circuits and Systems (ISCAS). Winner of multiple awards for scientific research.
10 years of software development experience in security and video surveillance, key roles in several IT RnD projects.
Sales of security corporate software products since 2004, winner of the 1st graduation of Startup Academy Skolkovo.
3 years in software development, 5 years in research and development work, 2 years in applied research.
10 years in mobile software development, author of ECG Dongle mobile application.
25 years in human resources and management consulting.