Decentralized video anywhere on Earth at anytime.

A decentralized camera network for recording the world.

Participants are continuously rewarded by setting up verifiably connected cameras at specified locations. These participants are further rewarded when their camera footage is viewed or streamed live by the minute.

Use cases may include scientific research, crime prevention surveillance, investment reconnaissance, 'slice of life' entertainment, insurance claim adjustment intelligence, celebrity sightings, PI assistance, missing person and lost child assistance, determining if you want to visit a coffee shop, bar, hotel, restaurant, or other venue, compliance, marketing campaign tracking, store tracking indicators, and historic event discovery.

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CameraCoin a decentralized mechanism for worldwide live and historical video streaming. It incentivizes individuals to deploy internet connected cameras commensurate to the projected demand of the area's footage. The incentive structure ensures the deployment schedule helps to ensure the camera coverage rollout occurs in a resource efficient manner.

Imagine

Imagine backwards time travel becomes possible. Not just possible, but practical and accessible for anyone wanting to partake. Instead of physically transporting your body, past moments are viewed on a screen. Now add an overly simplistic UI to this thought experiment with just two user inputs. The date/time selector and a desired location. Pushing SUBMIT instantaneously whisks you to then & there. (Let's say a non-precise location input choses an exact location in that vicinity at random or tries to curate the event you are attempting to visit)

What would be the most popular user 'time travel search queries?" Perhaps, initially the search list might look something like:


[INITIAL TIME MACHINE SEARCH QUERIES EXAMPLES]

1. 65 million years ago, Africa

2. 66 million years ago, Colorado

3. 65 million years ago, Yucatan Peninsula

4. November 22, 1963, Dealey Plaza

5. 13.8 billion years ago, Big Bang

6. December 25th, Year Zero, Bethlehem

...

...

...

10. January 9th 2009, Temple City


These first tranche of search queries speak to humanity's innate curiosity of origin stories. Once these initial curiosity searches are sated, how would people use this new technology? I suspect the second tranche of search queries to take on a more personal and intimate nature. The date/times & and locations will vary but the sentiment will likely mirror events relating to one's childhood like the first day of school, moments with lost relatives and pets, and even the first time meeting a spouse.


[SECONDARY TIME MACHINE SEARCH QUERIES EXAMPLES]

11. Reliving distant memories with loved ones

12. Viewing childhood home and city

13. Seeing elements of favorite idolized day or vacation

...

...

...

20. Significant personal achievement



Providing that this new time travel IRL MVP can be accessed in an unlimited capacity we'd see a tertiary of search queries emerge. This tranche would be far more diverse and pragmatic in nature. A sampling of the flavoring of these queries are below:



[TERTIARY TIME MACHINE SEARCH QUERIES EXAMPLES]

21. Searching for a missing person using last reported locations and times

22. Investigating a car accident, stolen property or casualty house claim

23. Seeing the crowd of a certain restaurant 7 minutes ago or 7 days ago

24. Tabulating shopping center parking lots throughout a fiscal quarter to reverse engineer a company earnings

...

...

...

125. Seeing if potential crush is at a bar or coffee shop

126. Assessing property encroachments validity

127. Learning from near miss situations relating to traffic, bike, or pedestrian accidents.

128. Entertainment value from rare occurrences involving natural phenomena.

.....

200. Celebrity sightings before they became famous



It is this tertiary tranche of 'time travel search queries' that will soon be possible with TIRL. Timetravel In Real Life is a decentralized collection of web cameras blanketing the world with both live streaming and recorded footage. In order to facilitate a camera network with maximum potential we anticipate static and dynamic cameras measured in the tens of millions.

Fortunately, there is a stable of 'ready to go' cameras for this purpose. Apple alone has sold nearly 3 billion iPhones with a sizable plurality of them sitting idle and unused. It is these dormant iPhone/Androids in people desk drawers that have the potential to underpin one of the world's most crucial decentralized networks.

historyofearth.jpeg
unsplash-image-BXOXnQ26B7o.jpg

Imagine

Imagine backwards time travel becomes possible. Not just possible, but practical and accessible for anyone wanting to partake. Instead of physically transporting your body, past moments are viewed on a screen. Now add an overly simplistic UI to this thought experiment with just two user inputs. The date/time selector and a desired location. Pushing SUBMIT instantaneously whisks you to then & there. (Let's say a non-precise location input choses an exact location in that vicinity at random or tries to curate the event you are attempting to visit)

What would be the most popular user 'time travel search queries?" Perhaps, initially the search list might look something like:

[INITIAL TIME MACHINE SEARCH QUERIES EXAMPLES]

1. 65 million years ago, Africa

2. 66 million years ago, Colorado

3. 65 million years ago, Yucatan Peninsula

4. November 22, 1963, Dealey Plaza

5. 13.8 billion years ago, Big Bang

6. December 25th, Year Zero, Bethlehem

...

...

...

10. January 9th 2009, Temple City


These first tranche of search queries speak to humanity's innate curiosity of origin stories. Once these initial curiosity searches are sated, how would people use this new technology? I suspect the second tranche of search queries to take on a more personal and intimate nature. The date/times & and locations will vary but the sentiment will likely mirror events relating to one's childhood like the first day of school, moments with lost relatives and pets, and even the first time meeting a spouse.

[SECONDARY TIME MACHINE SEARCH QUERIES EXAMPLES]

11. Reliving distant memories with loved ones

12. Viewing childhood home and city

13. Seeing elements of favorite idolized day or vacation

...

...

...

20. Significant personal achievement


Providing that this new time travel IRL MVP can be accessed in an unlimited capacity we'd see a tertiary of search queries emerge. This tranche would be far more diverse and pragmatic in nature. A sampling of the flavoring of these queries are below:


[TERTIARY TIME MACHINE SEARCH QUERIES EXAMPLES]

21. Searching for a missing person using last reported locations and times

22. Investigating a car accident, stolen property or casualty house claim

23. Seeing the crowd of a certain restaurant 7 minutes ago or 7 days ago

24. Tabulating shopping center parking lots throughout a fiscal quarter to reverse engineer a company earnings

...

...

...

125. Seeing if potential crush is at a bar or coffee shop

126. Assessing property encroachments validity

127. Learning from near miss situations relating to traffic, bike, or pedestrian accidents.

128. Entertainment value from rare occurrences involving natural phenomena.

.....

200. Celebrity sightings before they became famous


It is this tertiary tranche of 'time travel search queries' that will soon be possible with TIRL. Timetravel In Real Life is a decentralized collection of web cameras blanketing the world with both live streaming and recorded footage. In order to facilitate a camera network with maximum potential we anticipate static and dynamic cameras measured in the tens of millions.

Fortunately, there is a stable of 'ready to go' cameras for this purpose. Apple alone has sold nearly 3 billion iPhones with a sizable plurality of them sitting idle and unused. It is these dormant iPhone/Androids in people desk drawers that have the potential to underpin one of the world's most crucial decentralized networks.

Let’s Build Together

Documenting the planet and humanity is as important as connecting it.