LotusEye

LotusEye: AI-Powered Anomaly Detection for Sensor Data

What is LotusEye?

LotusEye is an AI anomaly detection platform designed to automatically learn normal behavior from sensor data and identify deviations that indicate potential problems. It provides an easy-to-use interface, making it accessible to users without extensive AI knowledge.

How does LotusEye work?

1. Upload training data: Upload historical sensor data representing normal operating conditions.
2. Create an AI model: The AI model learns the patterns and characteristics of normal behavior.
3. Upload test data: Upload real-time or recent sensor data to be analyzed.
4. Review anomaly scores: The AI calculates anomaly scores, highlighting data points that deviate from the learned normal behavior. Higher scores indicate a greater likelihood of an anomaly.

Why is LotusEye important?

• Early anomaly detection: Identifies potential problems before they escalate into major issues.
• Reduced downtime: Prevents equipment failure and minimizes downtime.
• Improved efficiency: Optimizes maintenance schedules and resource allocation.
• Cost savings: Reduces maintenance costs and extends equipment lifespan.

Key Features:

• Easy to use: No coding or AI expertise required.
• Free model creation: Create and test AI models for free.
• Email notifications: Receive alerts when anomalies are detected.
• API access: Upload data and retrieve results programmatically.
• Multiple user management: Collaborate with team members.

Pricing Plans:

• Free: Limited features, suitable for small-scale testing.
• Light: Affordable plan with basic features like email alerts and API access.
• Standard: Enhanced features for broader use, including more sensor data and longer data storage.
• Business: Comprehensive plan for enterprise-level deployments, with unlimited users and advanced reporting.

FAQ:

• What types of sensor data can be used? LotusEye supports wide-format and long-format CSV files.
• How can I upload sensor data? You can upload data manually through the web interface or programmatically via the API.
• When does the anomaly score become high? The anomaly score increases when the data deviates significantly from the learned normal behavior. The threshold for triggering an alert can be customized.

Where can I use LotusEye?

LotusEye is suitable for a wide range of applications, including:

• Predictive maintenance: Monitoring equipment health and predicting maintenance needs.
• Manufacturing: Detecting anomalies in production processes.
• Energy: Optimizing energy consumption and identifying equipment malfunctions.
• Transportation: Monitoring vehicle performance and detecting potential safety issues.

Best way to get started?

Sign up for a free account and upload your sensor data to start creating AI models and detecting anomalies. Explore the different pricing plans to find the best fit for your needs.