Uniting the Physical World with Artificial Intelligence
Historically, embedded IoT devices acted solely as passive data loggers transmitting raw telemetry to cloud servers. Today, modern microcontrollers and compact Edge AI models (TinyML) enable real-time local decision-making right on the physical device.
Practical Industrial Applications
- Vibration & Temperature Anomaly Detection: Devices detect subtle motor frequency anomalies hours before mechanical breakdown occurs.
- Embedded Camera Meter Reading: Computer vision models read legacy dial and numerical meters without requiring full infrastructure replacement.
- Smart Power Optimization: Devices dynamically adjust telemetry bursts, enabling multi-year battery operation in demanding field environments.
