Video Processing
The application automatically converts video recordings into individual frames, saving them along with analytical data in the database. This enables researchers to efficiently analyze each stage of the process.
We developed a custom experimental analysis system for a scientific institution, supporting research on reducing harmful emissions in fossil fuel combustion processes. The application enables researchers to process video recordings from experiments, facilitates detailed analysis, and allows for the collection of large datasets for further studies. Considering the project's specificity and the vast number of parameters processed, the system was optimized for performance, scalability, and user-friendly experience.
Advanced Data Analysis
The system provides tools for interpreting experimental results, enabling data visualization, measurement of specific parameters, and comparison of outcomes from various research trials.
Handling Large Data Sets
The scalable architecture built on MongoDB enables the storage and management of extensive experimental data, ensuring seamless performance regardless of the dataset size.
Results Reporting
The application facilitates the generation of detailed reports based on processed data, supporting researchers in documenting their studies and presenting findings effectively.
Integration with Other Research Tools
The system can be extended with additional modules and integrated with existing software used by the research institution.
High Performance and Optimization
Leveraging Nuxt and MongoDB technologies, the application ensures fast data processing and operational stability under heavy usage.
User-Friendly Interface
The interface is designed with simplicity and functionality in mind, enabling efficient system operation without the need for extensive training.
Application type
Data Analysis Software
Development timeline
June 2023 - September 2024
Architecture
SSR/SPA
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