Each node is a compact edge device that measures vibration, RPM, 3-phase electrical parameters and power quality — then streams curated features to the cloud for AI analytics.
Edge + cloud hybrid — heavy FFT / AI runs in the cloud, with on-node thresholds for fast alarms.
Designed for hot, dusty electrical rooms — with industrial connectors and clear separation between high-voltage and logic.
From raw sensor signals to usable AI features — optimised for motors, pumps, compressors, blowers and chillers in Malaysian factories.
Industrial accelerometers mounted near bearings capture vibration in mm/s and g. Optional shaft encoder / tachometer reads RPM for speed tracking and order analysis.
3-phase CT & VT inputs feed isolated ADCs for current, voltage, power and power-quality measurements.
The node extracts features on a sliding window, tags them with timestamp, machine ID and operating state, then streams to the cloud.
ChempakaSense is designed to fit into existing MCC rooms and factory layouts without disrupting your switchboards.
Detailed schematics, PCB layouts and commissioning guides are available for customers and grant reviewers on request.