DEEP AERO

Dear Ilya,

Thank you for taking the time out to write this review.

We are building an intelligent, autonomous and self-governing system to manage high volume drone traffic that adheres to regulations of the jurisdiction in which the UTM (Unmanned Aircraft Systems (UAS) Traffic Management) platform has been deployed. This platform will ensure that the drone traffic does not disrupt manned air traffic. The platform will have features like dynamic geofencing, congestion management, terrain avoidance, route planning, re-routing, separation management, sequencing and spacing, and contingency management.

The platform would need to make autonomous decisions like changing routes (re-planning flight path) of drones on the fly if there's a change in airspace restrictions due to an emergency or other factors. Doing this for hundreds of drones flying in an area manually will be a nightmare. While this automatic change in flight path happens for hundreds or thousands of drones, the platform would have to ensure that these drones do not collide with each other and can automatically avoid skyscrapers and other infrastructure. The platform would also have to make contingency management decisions if there's a sudden change in metereological conditions or there's an emergency like a fire breakout in its path or the drone loses contact with the platform due to failure of sensors etc. All of this will be managed by AI. The intelligence and autonomy levels of the platform will be a function of sophistication of our AI module.

We are using Blockchain for the following purposes:
1. Identity Management of Drone, Drone Operator and Drone Owner
2. UAV pilot certification verification
3. UAV maintenance/fitness records verification
4. Flight logs archive

The AI module will pick the identity data, maintenance data, flight logs etc. from the Blockchain before approving a flight plan. The data stored on the Blockchain is immutable and forensic analysis will be done by AI in case of an incident. We are using a hybrid Blockchain implementation in our platform.

The solution that we are building will be modular and have APIs through which any Drone manufacturer will be able to use DRONE-UTM. DRONE-UTM will also be compatible with other UTMs. We are already in talks with multiple Drone manufacturers for purchasing passenger and cargo drones on OEM basis. We will be announcing these partnerships soon.

Dear Reinhard,

Request you to modify your rating because we have a very good international team with strong expertise. Our team composition is:

India: 5 members
UAE: 4 members
Canada: 3 members
USA: 3 members
Netherlands: 2 members
Ireland: 1 member
Ukraine: 1 member
Cyprus: 1 member
Spain: 1 member

It's pertinent to note that we've kept the bar very high for soft cap so that investor money is refunded if we don't achieve it. We're very ambitious and it shows. God bless!

Dear Gytis,

It looks like you never bothered to read the whitepaper beyond Abstract section.

The project is using AI and Blockchain to build a traffic management platform for drones.

Problem Statement:
There will be millions of commercial drones swarming our skies in near future because of the cost and time efficiency they bring in commercial activities ranging from precision agriculture, infrastructure inspection, surveillance, traffic monitoring to the delivery of goods and services. These are especially true for high risk activities like infrastructure inspection, wind turbine farm inspection etc. Current airspace management and air traffic flow management systems don't have the capabilities to handle the type of operations relevant to drones. In addition, the anticipated traffic density of drones is far beyond the capabilities of current air traffic management systems.

Solution:
An intelligent, autonomous and self-governing system to manage high volume drone traffic that adheres to regulations of the jurisdiction in which the UTM (Unmanned Aircraft Systems (UAS) Traffic Management) platform has been deployed. This platform will ensure that the drone traffic does not disrupt manned air traffic. The platform will have features like dynamic geofencing, congestion management, terrain avoidance, route planning, re-routing, separation management, sequencing and spacing, and contingency management.

The platform would need to make autonomous decisions like changing routes (re-planning flight path) of drones on the fly if there's a change in airspace restrictions due to an emergency or other factors. Doing this for hundreds of drones flying in an area manually will be a nightmare. While this automatic change in flight path happens for hundreds or thousands of drones, the platform would have to ensure that these drones do not collide with each other and can automatically avoid skyscrapers and other infrastructure. The platform would also have to make contingency management decisions if there's a sudden change in metereological conditions or there's an emergency like a fire breakout in its path or the drone loses contact with the platform due to failure of sensors etc. All of this will be managed by AI. The intelligence and autonomy levels of the platform will be a function of sophistication of our AI module.

We are using Blockchain for the following purposes:
1. Identity Management of Drone, Drone Operator and Drone Owner
2. UAV pilot certification verification
3. UAV maintenance/fitness records verification
4. Flight logs archive

The AI module will pick the identity data, maintenance data, flight logs etc. from the Blockchain before approving a flight plan. The data stored on the Blockchain is immutable and forensic analysis will be done by AI in case of an incident. We are using a hybrid Blockchain implementation in our platform.

We could not find any serious comment in your entire review.

Please google "Why We’re More Likely To Remember Content With Images And Video". You can also search for research that has quantitative proof on why Visual content is better than plain text.

Your comment (I believe that existing supplier/manufacturer/distributor has a competitive advantage over a novice team) shows lack of understanding of business and technology and a clear bias. You never bothered to research the team's expertise. You never bothered to do anything at all apart from writing a review that's either an attempt to gain limelight or is a paid review by our competitor(s) who haven't been able to explain how and why they are using Blockchain in their projects.

I believe kindergarten kids are smarter and more honest than fake experts. For the record, honestly, your review completely looks like a paid review.