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A Low-Cost Hardware/Software Platform for Lossless Real-Time Data Acquisition from Imaging Spectrometers
1Signal Theory, Communications, Telematics Systems and Computation Department, Fuenlabrada Engineering School, Rey Juan Carlos University, 28942 Fuenlabrada, Madrid, Spain.
Sensors (Basel, Switzerland)
|May 13, 2023
Summary
This study presents a cost-effective hardware/software platform for real-time data acquisition and lossless storage from imaging spectrometers. The system achieves high throughput and data integrity, outperforming specialized solutions.
Area of Science:
- Engineering
- Computer Science
- Data Acquisition Systems
Background:
- Real-time data acquisition and storage in data-intensive applications face challenges with performance and data loss.
- Existing ad hoc solutions are often costly, lack modularity, and are not scalable.
Purpose of the Study:
- To develop a cost-effective hardware/software platform for real-time data acquisition and lossless storage.
- To meet stringent throughput requirements (100 MBytes/s) for imaging spectrometers.
Main Methods:
- Utilized commercial off-the-shelf hardware components.
- Developed an optimized, multithreaded software application for data processing and storage.
- Integrated hardware and software for deterministic, high-throughput data handling.
Main Results:
- Successfully captured 100,000 1 Mpx images at 23.5 MHz (94 Mbytes/s input throughput).
- Achieved concurrent lossless storage of 300 GBytes of data.
- Demonstrated sustained real-time data acquisition and storage without data loss.
Conclusions:
- The proposed system offers comparable performance to specialized hardware but at a lower cost.
- The platform provides flexibility and adaptability for evolving data acquisition requirements.
- This solution enables reliable, high-volume data handling in demanding applications.
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