Project Details
Client: Engineering and Surveying Solutions Provider (Saudi Arabia)
Sector: Geospatial Technology
Sub Sector: 3D Data Visualization and Remote Sensing
Services:
- Full-cycle software development
- 3D data visualization
- WebGL rendering integration
- Custom UI/UX design
- Scalable backend architecture
Solution:
Creation of a web-based application designed to visualize, manage, and interact with massive 3D point cloud datasets. The platform supports LIDAR, photogrammetry, and other 3D formats, providing users with powerful tools to measure, annotate, clip, and export data through a seamless browser interface.
Location: Saudi Arabia
People:
The project team consisted of software engineers, 3D visualization experts, and cloud infrastructure specialists. The development was led by a project manager following an agile approach, with close coordination between frontend (Angular, Potree) and backend (Python) teams. A dedicated QA team ensured performance, accuracy, and stability across multiple datasets and use cases.
Technology and Software:
- Front-end: Angular, Potree (WebGL)
- Back-end: Python
- Data processing: PotreeConverter
- Database: SQL Server
- Web server: NGINX
Cloud/On-Prem: Flexible deployment (AWS, GCP, or on-prem)
Process & Challenges
Process:
The development process included:
- Requirements gathering and solution architecture planning;
- Integration of Potree and PotreeConverter for high-performance rendering;
- Backend development using Python and SQL Server;
- Frontend development using Angular and WebGL for interactive tools;
- User authentication with JWT and secure role-based access;
- Cloud-agnostic deployment (support for AWS, GCP, and on-prem);
- Stress testing with large-scale datasets;
- Deployment with NGINX and secure storage configuration.
Challenges:
- Massive Data Volume: Rendering trillions of points while preserving metadata and visual fidelity in a web environment.
- Interactive Performance: Ensuring fluid interaction and low latency for real-time measurements and analysis tools.
- Security: Implementing fine-grained access control and secure data delivery for high-value geospatial data.
Result
The Point Cloud platform empowered the client to offer an advanced, cloud-delivered 3D visualization solution to surveyors, GIS analysts, and engineers. It eliminated the need for heavyweight desktop software and simplified access to complex datasets. The platform is now used for city planning, environmental monitoring, infrastructure inspections, and academic research — supporting both public and private stakeholders.



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Working on the Project:
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+380672088520 Ievgen Lavrishko
info@gis-point.com