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Catastrophes reaction system

This system use algorithms and analytical techniques to extract useful information from satellite image.

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  • Latvia

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  • 3. Protecting our critical infrastructure

Description

If accidents or catastrophes take place, it is difficult to identify it immediately and response time could be delayed.  Average response time for emergency services is 8 minutes not counting the time it takes them to get there. There are about 370 catastrophes a year worldwide.

We believe at least half of them can be avoided by using our system. We believe that surveillance of a tertiary and regular data harvesting, using satellites and drones, could decrease the response time. Our goal is to decrease the response time by 2 minutes and prevent at least 50 % of catastrophes. Our solution is a satellite image processing system interconnected with drones.

A satellite image processing system refers to a software system that is designed to analyze and manipulate data obtained from live satellite imagery.

Satellite image processing systems typically include modules for image acquisition, pre-processing, enhancement, classification, feature extraction, and analysis. These modules use various techniques such as filtering, segmentation, pattern recognition, and machine learning algorithms to interpret the raw data captured by satellite sensors.

The output of a satellite image processing system can be used for a variety of applications, including disaster management, natural resource management, urban planning, and military surveillance. For example, satellite imagery can be used to monitor the progress of a natural disaster, such as a hurricane or wildfire, military attacks and to identify areas that need immediate attention. The satellites system would inform the people in the area via phone message to evacuate. The message will be sent through previously negotiated mobile service providers through cell towers. Only those in the general vicinity of the danger will receive the message. It will include identification of the threat, location and instructions of further action.

Furthermore, after the satellite has found and identified a threat, several drones are deployed from drone stations near important infrastructure, such as hospitals, schools, power stations, etc.  

Satellites will be interconnected with drones that regularly monitor a certain area. Drones and satellites send the gathered data to a central hub where it will be automatically analyzed. If any thermal, chemical or atmospheric changes are seen by drones then the satellite system will immediately notify emergency services, shortening the response time and protecting potential immediate responders.

Methodology

Determine the environmental factors to monitor, such as land use, vegetation cover, or water resources, Land Resources. After that pre-process the satellite imagery to remove any noise or distortions, and to correct for atmospheric effects. 

Analyze the satellite imagery using image processing techniques to extract the desired environmental information.

After implementation the system interpret the results of the analysis and communicate the findings to stakeholders, such as policymakers, environmental organizations, or the general public.

Monitor changes in the environmental factors of interest over time by periodically repeating the image analysis process.

Innovativeness

There are several catastrophic identification systems.

Through the real time satellite image features such as carbon monoxide,heat,UV we are identifying the location which happen on bomb attack immediately. Our system we get the natural disasters data because there is no exits from bomb attack data.

But our system drone response automatically deployed to the disaster area and found the people and guided them to the safety zone.

Furthermore in addition to that our system generate an emergency alert the people who live that area to inform about the threat also emergency response team can monitor real time situation via air drones.

Team

CEO

Project Manager

Devoloper (AI)

Business Analyst

Infrastructure Engineer (Devops)

Marketing manager

Networker

Technical experts

Data analyst

Market

In general, a drone is any vehicle that can fly without a person on board to operate it. Most governments categorize drones by weight. In EU maximum weight of a drone can be 25 kg. In the European Union drones are organized in three categories:

  • Open category. (lowest risk); 

  • Specific category. (higher operational risk);

  • Certified category. (highest level of risk).

The value of global consumer drone market reached 4.34 billion US $ in 2022 and is expected to reach 19.71 billion US $ by 2030. Currently the biggest markets for drones are security and industrial inspection. However there are growing opportunities in delivery, agriculture and emergency services sectors. Growth of the drone industry could be accelerated by development of various sensors that can gather and analyze different types of data. Decreasing production costs will make drones available to more people and organizations.

Customers

Our target audience will be city councils that can use our plan to protect their critical infrastructure, citizens and to prevent disasters before they have ever happened. In future developments we hope to work with governments of EU countries and to implement our plan in all of Europe to make it safer. 

Expenses and pricing

We plan to charge an annual or monthly subscription to city councils and other clients. Our rate could be 75000 EUR a year or 7000 EUR a month per station. One fully equiped drone costs approximately 7000 EUR.  Energy costs are dependant on current economic situation but monthly expenses could be roughly 1000 EUR. Total expenses of a single station containing 3 drones could reach 40000 EUR. These are one time costs, energy and maintanace costs are seperate.

Competitors

  • Nightingale security

Company was founded in 2017 by Jack Wu. It is located in California, US. They are leaders in autonomous drone solutions for security needs. Typically the company secures manufacturing sites, energy generation and storage facilities, pharmaceutical research, mining, military installations, and other critical infrastructures. These drones are able to operate in hail and rainstorms.

  • Scentroid

Scentroid offers air quality monitoring using air quality analysis. Company was founded on 1 st January 2007 in Canada. They offer various drones with specific sensor modifications as well as other types of sensors. Up to 8 sensors can be added to the drone and it can be functional for up to 2 and half hours. Air quality analyzer shows information about any changes in the air and identifies potential pollution threats.

  • ELISTAR 

 Elistair is a French company, it was founded in 2014 by Guilhem de Marliave and Timothée Penet. They offer drone surveillance to various events and they operate in over 50 countries. For example, Elistair provided drone surveillance during the 2019 Superbowl in Atlanta. In 2016 the US army chose Elistair solution for security operations, and Securitas acquired Elistair services for large event security. In 2021 Elistair raised 7 million euros in series B funding with Omnes Capital to develop international expansions.

  • ZZ dats 

This is a Latvian company, which was founded in 1995. They mainly develop information systems. In February of 2023 ZZ dats won the competition for monitoring international airports of Riga and Liepāja with drones. This solution increases the safety in airports and removes the need for some security guards. Goal of this project is to unite Latvian drone companies to create an operational network.   

Future development

We want to create an app for those who have access to smartphones and want immediate notifications about any potential threats and evacuation. Safe routes, closest hospitals, gathering locations and bomb shelters would shown in the app. It will have a real time map that is updated regularely using satelite and drone data. We want to implement artifical intellegence on drones for better and faster threat and disruption identification. In the future drones will be equiped with smoke flares, speakers, lazer projectors for drone assisted evacuation via safest routes. 

We need!

In order to fully implement this project we need starting capital of at least 50000 euros to buy the drones and their stations, to conect them with satelites as well as system upkeep. We need access to satelites with higher resolution so we could get more accurate data. We need to find technical experts who could help with further research, development and could work out any issues in our current plan as well as potential investors.

We plan to achive this by contacting well established companies, attending safety and security conferences and participating in other contests and hackathons. 

References

https://www.snsinsider.com/reports/consumer-drones-market-1301?utm_source=KailasRG

https://www.nightingalesecurity.com/use-cases/

https://vs.lv/raksts/ekonomika/2023/02/28/dronu-parvaldibas-un-uzraudzibas-sistemu-veidos-zz-dats

https://scentroid.com/about-scentroid/

https://www.zzdats.lv/en/solutions/

https://www.droneinfo.fi/en/eu-drone-regulation

https://www.dronenerds.com/products/drones/enterprise-drones/parrot-business/parrot-anafi-usa/parrot-anafi-usa.html

https://www.hextronics.tech/


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