Free
$0Free plan available.
LotusEye is a freemium AI anomaly detection product designed for sensor data. It automatically learns normal behavior from diverse sensor data and immediately raises an alert when anomalies are detected. It offers easy-to-use AI model creation without requiring AI knowledge, allowing users to upload data and create models for free. Paid plans offer additional features like email notifications, API data uploads, and multi-member management.
To use LotusEye, first upload training data representing normal operations to build your AI model. Next, upload test data to scan for anomalies. Finally, review the anomaly scores generated by the AI; if scores exceed your threshold, proceed to inspect the equipment.
We support two CSV formats: Wide-format, where each row contains sensor values for a specific timestamp, and Long-format, which includes 'Timestamp,' 'Sensor Name,' and 'Sensor Value' columns.
You can upload CSV files by selecting them through the interface or using drag-and-drop. Users on the Light plan or higher also have the option to upload data via API.
The anomaly score increases when test data deviates from the learned normal behavior. Model accuracy depends on the quality of your training data; we recommend testing with both normal and abnormal data using the free plan.
Anomaly scores are calculated hourly. If your sensor data timestamps are at intervals shorter than one hour, the data is averaged over each hour before the score is computed.
No, any numerical data in CSV format is compatible. You can convert outputs like sar commands or web server access logs into CSV format to use them for anomaly detection.
We accept credit card payments processed through Stripe.
For detailed instructions, please refer to the User Manual.
Free plan available.
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