One of the primary use cases in mind for DXChain

One of the primary use cases in mind for DXChain is providing proper data support & infrastructure for IOT expansion.
IoT devices are becoming part of a smart city infrastructure that can combat the strain of city growth, from traffic control to environmental issues.

As time goes on city populations become an ever growing issue. As new citizens migrate in they can help a city’s economy and help generate revenue. On the same token, the more people in mega cities will strain resource usage. It will be an inevitable outcome that cities will need to adopt IOT related devices not only to thrive, but really to survive.
The massive growths in cities have spawned new problems and make existing ones even more challenging. As no slowdown in city growth appears in the landscape, we must find ways to address these concerns on the fly. One of these ways is IOT application. To fix its problems, Las Vegas has looked into IOT ways in order to to streamline operations in the city via sensors, mobile devices, video footage, etc. While this may seem like a relatively simple straight forward task, it’s quite cumbersome because how do we manage to store and process all that data? A simple elegant solution for all this is DXchain.

We can take this data and process it in real time to help identify really dangerous situations and take action before they transpire. For example in Las Vegas, they are using IOT sensors to minimize traffic at peak hours to help the environment. For example, let’s say a car is setting idly at a traffic stop, sensors nearby can pick up on CO2 levels and general traffic conditions to figure out ijf it’s optimal to turn the light green or rather leave the car alone at the stop light. This is how we can use data in real time to create more efficient cities.
DXchain can be used for this smart city initiative. It’s the logical choice because it comes with the data collection and processing component into a one stop solution. A city like Las Vegas could also use DXchain’s open source platform in order to allow other chains to interact dynamically with it. Especially by combing a project like Aikon that allows integration of API’s in both the blockchain and traditional web space.
IN a hypothetical scenario, after data collection on sensors and cameras, the city could potential figure out through meta data that a bulk of traffic accidents are actually associated with cars going down the wrong road. This can be figured out intuitively with AI/ML and a fix could be applied in real time once a statistically sample size has been produced.

We can also take this example and move it to say something more mundane like trash collection. In many cities, trash collection is still very much a manual process. A garbage truck stops manually at every house in order to empty trash bins, but imagine connecting every trash bin and imagine some bins are empty and can be avoided. This could potentially increase the efficiency of trash collection by up to 50%.
The use cases are endless.

link--->
https://t.me/DxChainBot?start=bcs8td-bcs8td

DxChain’s website ---> https://www.dxchain.com/