Author

L. L

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Conference Jul 2026

TinyML-based Autoencoder for Real-Time Anomaly Detection in Resource-Constrained IoT Sensor Streams

Anomaly detection of sensors within small hardware platforms such as ESP32 is complicated by its lack of memory space and computational capabilities. This paper presents a lightweight anomaly detection model that uses autoencoders, developed and optimized using the TensorFlow Lite Micro framework. The model was trained...

L. L, K. N, A. B. · 2026 4th International Confe... · 0 citations