Insightful Data Processing Algorithms
Data processing algorithms allow interpretation at the sensing node, right where vibrations are created. They use embedded machine learning models and automated labeling of events and patterns to allow on-device sensor data analytics. Moving intelligence to the edge helps in offloading the network from costly, large streams of data. It also enables low power consumption as it transmits only interpreted information, real-time alerts and selected events instead of raw data. The improved power efficiency is an important step toward energy harvesting for self-sufficient IMU.
Take a look at our case studies based on your research or business needs. Learn more about how our smart sensing solutions have helped our customers achieve their goals and revolutionize their industry.
IoT-Enabled Prefabricated Concrete Modules
Gruppo Centro Nord manufactures prefabricated concrete modules offsite and delivers them to the construction site, where they are slotted together to create the final infrastructure. This Proof of Concept (PoC) sought to perform continuous monitoring of infrastructural degradation to predict, and consequently, avoid triggering phenomena that would accelerate deterioration. Monitoring would be done by attaching Muse IMU sensors to the modules to identify and evaluate these events.