Equipment Anomaly Detection

Oil Leak Detection

Detects subtle signs of oil leaks occurring in rotating equipment such as motors and pumps in real-time,
identifying abnormal conditions early that could lead to equipment failure and secondary accidents.
Automates equipment anomaly detection that used to rely on visual inspection, improving maintenance efficiency.

Only 3 minutes to turn a normal camera into an AI camera! This is how it went.

Step 1

Setting Detection Scenarios

Easily write detection conditions with prompts.
e.g., "Detect oil leaking from the equipment"

Step 2

Check Results & Optimize

Check detection results and modify targets and scenarios if necessary.

Importance of Early Equipment Anomaly Detection

Equipment anomalies mostly start from small signs, and if missed, can lead to unexpected equipment downtime and significant losses.
EVA enables Predictive Maintenance by continuously monitoring even subtle changes.

Maintenance Automation Based on Equipment Status

Starting with oil leak detection, EVA can be expanded to various equipment anomaly scenarios such as vibration anomalies, temperature rises, and smoke generation.
By integrating with equipment management systems, it implements an intelligent equipment management environment that leads to inspection, maintenance, and action.