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Canopy is an AI technology that helps improve machinery performance in various industries. By using historical data, Canopy's AI continuously monitors the health of machines, tracks performance in rea
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Canopy is an AI technology that helps improve machinery performance in various industries. By using historical data, Canopy's AI continuously monitors the health of machines, tracks performance in real-time, and collaborates with users to resolve issues. With Canopy, businesses can detect failures ahead of time, reduce machine downtime, and increase overall performance. The technology is remotely deployed and does not require any hardware installation. It offers user-friendly interactivity and contextual alarms, making it easy to find and resolve abnormalities in machine operation. Canopy's powerful AI is trained on historical SCADA data, allowing it to understand normal machine behavior under different operating conditions.
Key Features
- Continuous Machine Health Monitoring: Canopy continuously monitors the health of machines allowing users to track components with abnormal behavior and take action before it's too late.
- Real-time Performance Tracking: Users receive notifications of underperformance and can investigate the necessary actions to optimize machine performance in real-time.
- Collaborative Issue Resolution: Canopy provides a collaborative environment where users can resolve issues together and work with the same data from different angles.
- Unsupervised Learning: Canopy's AI learns normal machine behavior without requiring annotated failures enabling it to detect and address abnormalities in any operation condition.
- Contextual Alarms: Canopy's alarms are dynamic and contextual detecting abnormalities based on the specific operation conditions. This eliminates unnecessary alarms and ensures meaningful alerts.
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