Having an AI assistant is all the rage these days, but AI assistants usually don’t know about your automation setups and may have difficulty dealing with tasks asynchronously. Enter zclaw.

Abstract: Robust sensing and detection require energy- and cost-efficient hardware and software capable of operating reliably in dynamic environments with wide variations in operating conditions.

This demo highlights how one can use a semi-supervised machine learning technique based on autoencoder to detect an anomaly in sensor data (output pressure of a triplex pump). The demo also shows how ...

Abstract: An architecture for the on-chip implementation of a compressive image encoder is presented. It is 100% compatible with standard CMOS image sensor architectures. It does not interfere with ...

The MV300 detects the direction and strength of the 3D (X, Y, Z) magnetic field. The signal from Hall sensors is amplified and converted to digital signal. The magnetic field range can be scaled from ...