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Edge Computing & AIoT

Edge Computing and Artificial Intelligence of Things (AIoT) involve performing localized data processing directly on edge devices rather than relying entirely on centralized cloud servers. This architectural approach combines Internet of Things (IoT) hardware with optimized, lightweight machine learning models to enable real-time decision-making, drastically reduce network latency, and improve overall data privacy and bandwidth efficiency.

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AIoT motion‑state detection pipeline: a simulated ESP32 + MPU6050 sensor (Velxio) streams accelerometer data over MQTT to Node‑RED, a TinyML model trained in Edge Impulse classifies Idle/Move/Shake on the edge, and predictions plus Shake alarms are visualized live on a ThingsBoard dashboard.

  • Updated Aug 24, 2026
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  • Updated Sep 25, 2026
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