LotusEye - AI Anomaly Detector

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Introduction: LotusEye is a freemium AI-powered anomaly detection tool specifically built for sensor data. It automatically learns normal operational patterns and triggers immediate alerts when anomalies occur. The platform enables users to build AI models without technical expertise, offering free model creation and data uploads, with paid tiers providing advanced features like email notifications, API integration, and team management.

LotusEye - AI Anomaly Detector Product Information

What is LotusEye - AI Anomaly Detector?

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.

How to use LotusEye - AI Anomaly Detector?

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.

LotusEye - AI Anomaly Detector's Core Features

  • AI-powered anomaly detection
  • Automatic learning of normal behavior
  • Alert notifications for anomalies
  • Free model creation
  • API data uploads (paid plans)
  • Multi-member management (paid plans)

LotusEye - AI Anomaly Detector Use Cases

#1 Predictive maintenance for industrial equipment
#2 Anomaly detection in web server access logs
#3 Monitoring sensor data for unusual patterns
#4 Detecting fraudulent activities based on numerical data

FAQ from LotusEye - AI Anomaly Detector

What types of sensor data can be used? +

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.

How can I upload sensor data? +

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.

When does the anomaly score become high? Can it detect signs of anomalies, and how often do false positives occur? +

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.

How frequently is the anomaly score calculated? +

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.

Can only sensor data be used for anomaly detection? +

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.

What payment methods are available? +

We accept credit card payments processed through Stripe.

I want to know more about how to use the service. +

For detailed instructions, please refer to the User Manual.

LotusEye - AI Anomaly Detector Pricing

Free

$0

Free plan available.

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