Case Studies
Education, science and research
Modular Hybrid IoT Platform
Roman Ledvoruch
Project Manager
Challenge:
- Researchers needed a platform capable of ingesting data from various urban sensors (air quality, noise, and traffic), processing it in real time, and enabling analysis of quality-of-life indicators.
- The platform had to operate in a hybrid environment, combining on-premises hardware and cloud services, while remaining scalable, secure, and enabling collaboration among multiple teams working with reproducible datasets.
Solution:
- We delivered an IoT platform capable of ingesting and processing real-time data from urban sensors, including air quality, noise, and traffic monitoring systems.
- The platform provides visualization through 2D maps and 3D augmented reality, enabling intuitive exploration of city data.
- A hybrid architecture, combining local hardware and cloud infrastructure, ensures scalability, security, and reliable system performance.
- The solution includes advanced analytics, reporting capabilities, and a centralized data warehouse for managing urban datasets.
- Open APIs and SDKs enable seamless integration with GIS systems and research tools, supporting collaboration and further innovation.
Project Timeline:
3 months
Rapid deployment and completion
Results:
Data reproducibility
Cost efficiency
Robust architecture
Flexible integration of additional sensors
Integration for research and academic teams
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