Our client (a leading provider of drone-based site capture solutions) needed a powerful, web-based platform to help their clients visualize and interact with complex geospatial data. The platform had to do more than just display drone imagery, it needed to offer:
We engineered a feature-rich, browser-based platform for presenting drone data with a focus on asset inspection, site planning, and interactive collaboration. Users can securely access high-fidelity 3D models from any device.
A web app with a 3D viewer
The client wanted to develop a platform that would:
View high-resolution 3D site models generated from drone and other data.
Inspect assets by clicking on specific areas to view detailed photos.
Measure distances, areas, and volumes directly within the 3D model.
Add notes, tags, and issue discussions for team collaboration.
Rust Detection: Detects corrosion on structures for quick repairs.
Electric Pole Detection: Identifies electric poles in drone images for utility tracking.
Combine drone, LiDAR, GIS, BIM, and 360° imagery, KML, GPX, and GeoJSON.
Easily compare site changes over time using toggle tools.
Upload and view PDFs, as-built drawings, and reports.
Connect live IoT data feeds for real-time asset monitoring.
Tailor the platform for different industries or integrate with other systems.
No software installation needed; it works on any modern web browser.
Manage permissions and roles for different team members or stakeholders.
View immersive media alongside spatial models for better context.
Optimized for tablets and iPads for use in the field.
Front-End
React.js
CesiumJS
Back-End
NodeJS
AWS EC2
AWS S3
AWS Cloudfront
Roboflow
TensorFlow
Database
MongoDB
To ensure the delivery of a high-quality platform, we implemented a robust set of quality assurance (QA) strategies throughout the development lifecycle. The following key strategies played a vital role in maintaining performance, security, and usability:
Ensured the platform performs consistently across major browsers and devices, including mobile and tablets.
Tested loading times and responsiveness for large datasets and 3D models to ensure a smooth user experience.
Cross-checked 3D rendering, measurement tools, and annotations to ensure high spatial accuracy and reliable outputs.
Ran automated and manual tests after each update to make sure new features didn’t break existing ones.
Collected feedback from real users in target industries to ensure the platform met real-world needs.
Used tools like Jira or Trello for issue tracking and maintained an ongoing QA process alongside development.
To ensure the platform delivered reliable performance, accuracy, and a seamless user experience, we followed a structured and iterative testing approach:
We selected this testing approach to ensure the platform could deliver a reliable, fast, and secure experience for users working in complex and high-stakes environments like construction, mining, and infrastructure.
Each methodology focused on key needs:
Made sure critical tools like 3D viewing and measurements worked exactly as intended.
Ensured users could access the platform from any browser or device without issues.
Helped handle large files and heavy usage without slowing down or crashing.
Protected sensitive project data and gave clients confidence in the platform’s reliability.
Used agile methodology to allow flexible planning and adapt to changes quickly.
Collected user input regularly and made improvements based on it.
Drone Operators, Developers, designers, and testers worked together closely.
Figma, managed tasks with Asana, communicated through Slack.
Held daily check-ins, planned sprints, and reviewed progress regularly.
Carefully schedule tasks, assign resources, and set clear milestones to meet deadlines.
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