Drones has opened the whole new doors for previously unavailable opportunities . When we talk about drones , the very first things that comes out in mind is drones fly in air , however that is not the case in present scenario . Drones are also available on ground as well as under water . With over decades of experience in custom software development , we have defined unique software architecture defining set of features for modern drone apps , which aids in defining trends to shape future of drone software development .

Also Read : How Drones Will Revolutionised Various Industries ?

Industries Where Drones Are Used 

Drones are gaining huge popularity worldwide . As per the recent reports by Goldman Sachs , following below industries will be faster adopter of Drones : 
Construction : Drones can we well used in construction industry for building surveillance , creation of contour maps , building roads and railways , counting construction supplies and so on .

Agriculture : Drones can be used to monitor plants on real time basis , monitoring water spray on crops .

Insurance : Inspection of damage , risk management and fraud monitoring .

Oil & Gas : Monitoring as well as laying of oil and gas pipeline .
Disaster Management : Quick view of areas affected by natural disaster and thereby informing rescue team about damage , food supply and so on . 
Logistics : Checking of inventories , delivering of packages by Drones and so on .   
Security : Monitoring of boundaries , enhancing security at crowded place .

Overview Of Sample Drone Software Architecture 

Drone software all together compromise of several parts : System software , User software and cloud based control platform . Let us elaborate system software first .
System software compromise of following components :

• Embedded software has function very similar to CPU  . It has ability to manage hardware , track drone , analyse data received by drone sensor which is often taken by GPS , ultrasonic and vision sensor .
• OS facilitate user to facilitate firmware part .
• Web and cloud interface facilitate data access from OS through remote control drones systems and then streaming gathered data from embedded software to cloud or mobile devices .

Cloud based drone control platform is being used for storiation , analysis and processing of data . Cloud platform is necessarily required to create 3D maps creation , computer vision as well as paternities recognition .

Brief Highlights In Modern Day Drone Application Development 

In order to make your drone app a huge success , we would like to suggest paying attention to following development aspects :

Features For Safe And Convenient Work 

There are some basic set of features which should be included in the application like :

• Simulation , training as well as controlling of flights 
• Making prediction as well as checking weather condition in flying region 
• Planning of routes by taking a close eye on no-fly zones , privacy zones and so on 
• Real time video transmission of data by audio/video streaming from the location wherein drone is flying 

User app can offer additional set of features to extend its functionality depending on the usability of the drone .

Other Important Consideration 

Software Certification 

Drone software has to follow certain standards such as DO-178C and ISO 14508 in a way that code architecture , coding and integration process , review and testing as well as management should be well organised .

Exception Data Security 

Drones are often primary target of hacker attacks . Thus drones software should be given attention to extra layer of security specially when it is being used for government and military purposes . This can be achieved by adding extra layer of security in software development like strong encryption , authentication in software , isolating confidential parts .

Continuous Enhancement 

Continuous enhancement of software capability in running environment which limiting the stable release of software is what is needed for enhancement of system stability . There should be continuous development , delivery and deployment approach through various latest approaches .

Design That Allows Scalability 

Drone software should be made in a way that it is compatible in case of number of user data increases as well as should be ready for accepting new feature and Depp customisation . The best way to optimise way is to use latest pattern for application architecture .

Integration With Other Systems 

Drone system should be made in a way that it can be integrated with enterprise system . For instance say logistics system for delivery services etc .

Simple UI In User Apps 

UI should be made in a way that it becomes simple for user to control drone . It should be made easy right from drone flying process to accurately conveying analytics results .

What Does Market Except From Drones In Near Future 

The near future except more of a kind of automation in drone capabilities . They will derive from :

• Ability to redefine rough with use of AI technology in case of natural calamities . AI algorithms needs to be refined for better creation of strategy . AI technology should be implemented in a way that it offers both co pilot mode as well as automatic flight modes for drones .
• Real time monitoring and coordination .The demand of RTOS ( real-time operating system ) is always demanding due to its capabilities for quicker data processing and accurate responding 

In addition to what has been listed above , improving data collection and analysis will be first priority . User require more sophisticated pattern recognition for enhancement of 3D modelling , image process and analysis , deep learning and other direct correlation with modern enterprise drone usages .