Natix Network: Building the Internet of Cameras with Decentralized Mapping

Today, I would like to share with you a project that I have been following for a long time and am actively involved in its community. The Natix Network project aims to build a decentralized mapping application in its mission to transition many systems operating on the web2 to web3.

In addition to this, it envisions becoming the "internet of cameras" by involving the community in the project. Unlike previous attempts by other projects, Natix Network achieves this without imposing the obligation to purchase cameras at high prices, instead creating a structure where even the smartphones we use in our daily lives become useful.

In this structure, users download the "Drive&" application of Natix Network to their phones. After completing the membership process, users can use their smartphone cameras to contribute to the construction of a decentralized mapping application.

To start, simply open the application before driving without the need for any additional devices, keeping the camera open during the journey. The AI-powered algorithm in the application scans and anonymously records the routes you take and what you see along the way.

The reason for using the term "anonymous" is the anonymization of all data that would normally be illegal to collect, such as people's faces, certain brands, and license plates of other vehicles, while driving. This is an experience we can also see in widely used maps like Google Maps. Natix Network, being a decentralized application, also prioritizes privacy, ensuring that no personally identifiable information is stored.

Returning to the driving aspect, the locations recorded during the journey are meticulously connected to the blockchain and matched with data provided by other users to create a map. Spatial locations, excluding roads, are converted into NFTs called "iLand," which can be purchased with Natix Network's native token, NTXT. As we drive, we earn in-app points equivalent to the distance traveled. These points can be converted into NTXT tokens. Of course, once the NTXT tokens are listed on exchanges, we can sell them for profit.

At this point, a question may arise: In the case of two different people passing through the same location, who will earn the reward? The answer to this question is hidden in the timestamp, which plays a role in solving many problems on the blockchain. The data submitted to the system by drivers is checked for pre-existence before being processed on the blockchain. This is done by searching for the coordinates of the location. If an image has been previously submitted in the records, it is not re-added to the system. However, if there is an update in the image at that location, the location is refreshed.

In terms of earning, you can start earning in-app points by completing simple tasks defined by the Natix Network team. You can view these tasks on Zealy and track the points you have collected. By joining the waitlist, you can stay informed about developments in Natix Network and participate in frequent contests and draws. You can download and use the currently active Drive& application during your drives to earn points. Events captured during the drive, such as traffic congestion, presence of litter on the roads, and the number of vehicles, can earn you additional real-time information points in the application.

By using the points you accumulate, you can purchase iLand NFTs from the in-app marketplace, convert your points into NTXT tokens, which are planned to be listed on exchanges soon, and thus generate income.

Finally, I would like to mention that the project recently secured investments of over $3.5 million in significant funding rounds and announced a collaboration with @peaqnetwork. You can delve into the roadmap and token economy in detail, join the community, and directly address any questions you may have to the team.

If you want to be a part of building an AI-supported decentralized map, you can sign up through this link, complete tasks, and start earning in-app points.

Thank you for reading.