S-Node introduces a breakthrough in predictive maintenance with its compact sensor node, capable of detecting various machinery defects such as misalignment, unbalance, and temperature irregularities. Utilizing a mesh network for seamless communication, S-Node transfers raw data to the cloud via a gateway, supporting Ethernet or Wi-Fi connectivity.

In the cloud, machine learning algorithms analyze the data to estimate machine downtime and generate real-time notifications for unexpected situations, enabling proactive maintenance. Our project entails delivering an end-to-end solution, encompassing hardware development, firmware integration, and cloud-based analytics. This comprehensive approach empowers businesses to minimize disruptions and optimize machine performance, ultimately enhancing operational efficiency.

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