Quick facts
- Best for
- AI anomaly detection from sensor data, for everyone
- Pricing
- Freemium
- Editor rating
- 4.5 / 5
- Community saves
- 0
About LotusEye
LotusEye is an AI-based tool which maintains a core focus on anomaly detection using sensor data. The software learns from normal behavior based on from the uploaded sensor data and automatically detects any deviations, raising an immediate alert during perceived anomalies. Users without a comprehensive knowledge of AI can effortlessly construct AI models simply by uploading their data. The process of creating models as well as scoring is initially free, allowing users to ascertain the systems effectiveness before transitioning to a paid plan. LotusEye also carries an array of features with each pricing tier including amenities like email notifications, data management by several members and data uploads via API. The AI model at work with LotusEye functions by learning from the regular sensor data that has been previously uploaded. When test data reveals behavior straying from what has been deemed as normal, the anomaly score increases. The system is flexible and supports two kinds of CSV files which includes both wide-format and long-format CSV files. Additionally, users are provided with the capacity to upload data through API, facilitating automatic data uploads. Regardless of the kind of numerical data, as long as it is in CSV format, it can be utilized for anomaly detection with LotusEye.
Pros
- Anomaly detection focus
- Automatic anomaly alerts
- User-friendly model construction
- Initial free model creation
- Predictive scoring system
- Flexible pricing tiers
- Email notifications feature
- Multi-members data management
- Data uploads via APIWide-format CSV support
- Long-format CSV support
- Automatic data uploads
- Any numerical data support
Cons
- Hourly anomaly score calculation
- Lacks real-time scoring
- Only supports CSV format
- Limited data upload options
- Dependent on quality of uploaded data
- Specific file structure requirement
- Not suitable for non-numerical data
- May have false positives
- No detection speed control
- Transitions to paid plan after trial