LotusEye offers AI-based anomaly detection that learns from normal sensor data and alerts on anomalies. Create models for free and upgrade if satisfied.
LotusEye offers AI-based anomaly detection that learns from normal sensor data and alerts on anomalies. Create models for free and upgrade if satisfied.
LotusEye provides an advanced AI anomaly detection system that automatically learns patterns from normal sensor data. Users can easily create their AI models by uploading data, with no prior AI knowledge required. The platform is free to try, and offers rich features like email notifications, data uploads via API, and multi-member management. Anomaly detection is simple and effective in three steps: upload training data, upload test data, and review the anomaly scores. Free model creation allows you to verify its effectiveness before committing to a paid plan.
Who will use LotusEye?
Industrial engineers
Maintenance teams
Data scientists
IoT developers
Manufacturing units
How to use the LotusEye?
Step1: Upload training data of normal operations to create an AI model
Step2: Upload test data to check for anomalies
Step3: Review the anomaly scores calculated by the AI
Platform
web
LotusEye's Core Features & Benefits
The Core Features
AI model creation from sensor data
Free model creation
Email notifications
API-based data uploads
Multi-member management
The Benefits
No AI expertise required
Free to start
Immediate anomaly alerts
Rich feature set
Scalable based on needs
LotusEye's Main Use Cases & Applications
Industrial equipment monitoring
Predictive maintenance
IoT device management
Environmental monitoring
Data-driven anomaly detection
LotusEye's Pros & Cons
The Pros
Easy to use with no AI knowledge required for model creation
Free model creation and anomaly scoring
Supports multiple CSV data formats for flexibility
Offers advanced features such as email notifications, API uploads, and multi-member management
Enables early detection of anomalies to prevent issues
The Cons
Detailed pricing information beyond the free tier is not immediately visible
No open-source code available
Limited information on the scope of data types and anomaly detection accuracy in real-world varied environments