A good way to address these needs is organizing the drone applications’ architecture in a modular pattern (for example, based on the service-oriented model or microservices). To monitor crop health, track livestock, plan irrigation, and predict yields based on insights acquired from fields. Intellias contribute to drone solutions for agriculture by applying its engineering services and technology expertise in drone agriculture mapping software at scale. At the beginning of the year, there is a meeting with the company executives, where they talk about the goals of the project for a year, and the drone software development team can do some high-level estimates.
- User-friendly client page to see orders analytics, statistics on the service packages used, etc.
- Now, customers who are in one organization get access to custom packages, and an owner of the organization has access to the orders of all customers in this organization, sees statistics and information of all employees.
- To do this, we apply our expertise in drone image processing software to collect, process, and analyze aerial imagery for precision farming.
- We have daily stand-ups with the team where we discuss progress, plans, and questions.
- The most impressive factor about Rubyroid Labs has been how excited the team is to work with us.
We work with the system that passes images from drone pilots to the customers. In addition, we offer post-processing of that images – we glue them into a panorama, or compose them into an orthomosaic image. Orthomosaic image means making a picture that can be superimposed on the map. Web and cloud interfaces allow accessing the OS from remote drone control systems and streaming gathered data from embedded software to the cloud or mobile devices. The company did not have a common style guide, so we sometimes had to re-create front-end elements in order to match them with the updated design. In collaboration with our in-house UI/UX designer, we created a style guide that included all common elements of the website and recommendations on how to use them.
Industry 5.0: Mass Personalization Driven by IoT and AI
Using this document, we have brought drone app development processes in a single style and cleaned up the project from legacy artifacts. UI should make drone controlling easy for people from different spheres and of different roles. It means that a user app should be intuitive in guiding a drone operator through the flying process and accurate in conveying the analytics results. Initially, each customer could create orders and work only within the personal instance. Our team added the structure of organizations and corporate instances.
At the end of each sprint, we have a detailed demo session with the operational management of the Drone Base. In case one of our customers gets any questions or problems regarding the work process in the system, it’s possible to create a temporary private session with the administrator from the Drone Base. Admins are logging in via the current user , and able to see the problem first hand.
Complex HMI Technical Solutions For Ultimate User Experiences
Ability to perform AI-driven route planning and mid-course corrections . It will require refinement of AI algorithms for better autonomous trajectory creation. To safely navigate around obstacles and avoid collisions, algorithms for both co-piloting and fully autonomous flights of drones have already been developed. If you want to keep up with the rapidly evolving innovations in the drone industry, enhancements should happen frequently and not hinder the system’s stability.
Their main problem was the performance of their internal development team since it was not big enough to complete the huge backlog of tasks needed to be done. At this moment, the founders of Drone Base came to Rubyroid Labs. Leverage our all-round software development services – from consulting to support and evolution. Developers can freely use our SDK to develop their own applications and embed their own code on the drone. Each quarter we also have a meeting where we discuss and estimate tasks in details. We have daily stand-ups with the team where we discuss progress, plans, and questions.
Agricultural drone spraying
Thanks to that, the client always has a clean, secure and maintainable code. The use of real-time operating systems is gaining popularity as a way to make drones capable of quicker data processing and accurate responding. RTOS multi-threading allows a drone to promptly combine and process real-time data about people, buildings, other drones, manned aircrafts that are in close proximity. In addition, it enables RTOS to accurately trigger follow-up actions, quickly assess the priority of tasks and schedule actions accordingly.
Drones allow opening previously unavailable opportunities – to see the invisible and reach the unreachable – not only in the air but also on the ground and underwater. In collaboration with the Drone Base development team and under the management of their CTO, our developers were provided with a number of features in the product pipeline and started the drone control application development. User software covers front- and back-end parts of web and mobile user applications. They help users to plan and conduct flights, as well as display data from a drone to users.
What does the market expect from drones in the near future
Now, customers who are in one organization get access to custom packages, and an owner of the organization has access to the orders of all customers in this organization, sees statistics and information of all employees. Enterprise drone applications should be able to integrate with enterprise systems, depending on their task – for example, with logistics management systems for delivery services, maintenance systems for pipeline surveying and so on. Thus, exceptional attention should be given to ensuring data security, especially when it comes to drones’ usage for government or military purposes.
Now users can see the new “Integrations” menu on the dashboard, where they can move over the native ArcGIS’s 2-factor authentication. We create the independent layer on customer’s map, which shows the photos for the particular orders. As a result, a user receives an email with a direct link to the updated layers.
In addition, priority will be given to improving data collection and analysis. A cloud-based drone control platform is used for data processing, storage https://globalcloudteam.com/ and analysis. The cloud part is a must when it comes to complex processes as in, say, 3D maps creation, computer vision, pattern recognition.
Collecting and Analyzing Drone Imagery for Crop Monitoring
User software also includes interfaces for communication with the cloud and the drone. Drone Base is the ongoing drone software project, where Rubyroid Labs team has been working for several drone software development years now. We constantly improve existing functionality, add extra features and maintain the legacy code. Four times a year we have clean-up sprints, where we close all the technical debts .
One of the latest and most popular approaches to assert the software quality in the context of fast development is to use the continuous development, delivery and deployment approach. The approach implies the usage of containers, shared code repository, infrastructure-as-code approach and other DevOps practices, automation in test preparation and execution, sound versioning and more. When Rubyroid Labs team started to work on the project, we had some communication issues because of the time difference. However, within a short time the development teams got used to each other and found the perfect solution for business hours and working together.
photorealistic drone simulation tool
That is why our drones are compatible with so many platforms. Drone Base is a professional provider of aerial images and videos for companies from multiple industries including Real Estate, Insurance, Property Management, etc. Transmitting to the smartphone what a drone sees or the already processed data from the cloud (audio/video streaming). We build on the IT domain expertise and industry knowledge to design sustainable technology solutions. The most impressive factor about Rubyroid Labs has been how excited the team is to work with us.
We help AgriTech providers to empower farmers with actionable insights instead of overwhelming them with unstructured data. To do this, we apply our expertise in drone image processing software to collect, process, and analyze aerial imagery for precision farming. We cover the full lifecycle of development, including designing user interfaces, establishing cloud infrastructure, and developing drone farm mapping solutions. To stay competitive, drone software should be ready for both increasing the number of users and data, and new features and deep customizations.
Their enthusiasm has been much appreciated as Rubyroid Labs has helped us build the company. User-friendly client page to see orders analytics, statistics on the service packages used, etc. Drone Base is a successful and rapid growth startup with its HQ located in LA. They realized that to be at the top of the industry and compete with other companies, they have to implement new features fast and regularly.
Needs to review the security of your connection before proceeding. Embedded software operates as CPU – manages hardware, tracks drone telemetry and partially analyzes the data received from drone sensors . Organization owner has access to the statistics of all organization accounts. Our team is proud to be a part of this project, and we predict a long and stable partnership with the Drone Base team. This year, Drone Base was a finalist of TIMMY 2019 Awards as one of the best Tech in Motion startups in Los Angeles. Our expertise spans all major technologies and platforms, and advances to innovative technology trends.