sensoric
Enhancing data at microchips
Turning standard sensor into premium one
Current state:
Modern sensing systems collect data at very high frequencies to enable real-time reactions and automation. In this study, light sensor data was captured continuously to monitor rapid environmental changes. While this approach provides valuable detail, it also introduces key challenges:
- High Noise Levels: Increased sampling rates amplify measurement noise and artefacts, reducing data reliability and masking real trends.
- Data Quality and Usability: The large volume of raw data must be processed to be useful for analysis or AI applications — yet traditional methods often lose precision.
To overcome these challenges, OWASmooth applied its advanced data smoothing technology to deliver clean, AI-ready sensor outputs.
OWASmooth’s solution:
OWASmooth applied its proprietary data quality enhancement algorithm right at the microcontroller. The solution focused on three key outcomes:
Statistics
<1 ms
Latency
73%
Improvement
99%
Data Reduction