Invention:
The Sensor Data Quality Upgrade Framework (SQUF) combines an artificial neural network and an optimization method to evaluate differences in data between low-quality and high-quality sensors. Once trained for a specific low-quality sensor, the SQUF can convert data from that sensor into higher quality data.
Background:
The sensor industry is faced with rapid increases in smart sensor sales coupled with an equally rapid fall in prices. SQUF provides a platform for sensor manufacturers to provide extra value while riding these trends. One example is the wearable sensors market where lower quality sensors could be used to deliver higher quality results that approach expensive medical equipment, which is often not portable. The result would be medically relevant alerts and diagnoses on a continuous basis and at a fraction of the cost.
Applications:
- Mobile healthcare
- Internet of Things (IoT)
- Autonomous systems
- Environmental monitoring
Advantages:
- Higher quality data
- Less expensive sensors
- Real-time results
