AI Systems

AI-based condition monitoring system that uses Motor Current Signature Analysis (MCSA) to detect early-stage motor and pump faults — winding, bearing, and shaft issues — purely from the motor's current waveform, without needing intrusive vibration or temperature sensors on the machine itself. The condition monitoring device streams current data to an AI-software layer that scores motor health and flags degradation before it causes downtime, visualized on a live dashboard. Used for predictive maintenance on motors and pumps where unplanned failure is costly to production.

AI-powered assembly area monitoring solution that counts people and vehicles in real time at every entry and exit point using AI cameras, so safety officers can verify a full evacuation during emergencies instead of relying on manual headcounts. A live occupancy dashboard shows who has reached the assembly point, automated alerts flag anomalies or unauthorized entries, and historical reports support ongoing HSE compliance reviews. Used at factory assembly points and muster areas to make emergency evacuation verification fast and auditable.

Face-recognition variant of Rax-Tech's Assembly Area AI Solution — AI cameras identify individuals by face rather than by generic people-counting as they pass entry and exit points, giving safety officers a named, verifiable evacuation roster during emergencies instead of just a headcount. Feeds the same live occupancy dashboard and automated anomaly alerts as the standard Assembly Area system. Used where HSE compliance requires knowing exactly who has evacuated, not just how many people.

Smart edge device with quad-core CPU that detects face masks, helmets, crowd count, and loitering from camera feeds. Supports 2 cameras from DVR/NVR/IP sources with automated audio announcements via inbuilt speaker. Sends alerts to CMS via SIA DC-09 protocol. Features 32GB storage, remote firmware updates, and configurable detection parameters. Used in ATM surveillance and workplace safety monitoring.