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Automated Data Logging for Structural Health Monitoring

Galvia Digital partnered with McFarland Consulting to streamline their automated data logging processes. Faced with disparate sensor devices and inefficient manual data handling, the company sought an integrated solution. Our team developed a Python application running on Raspberry Pi, enabling seamless data collection from various sensors and automatic transmission to the cloud. We also created a centralized self-service portal that provided clients with real-time access to critical structural data. This transformation not only reduced the need for on-site visits but also empowered McFarland Consulting to deliver timely insights to clients, enhancing decision-making and overall service quality.
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