Canopy is an AI-powered asset management software developed by Jungle. It uses historical data to predict component failure and identify underperformance, enabling companies to increase their production efficiency and prevent unplanned downtime.
Canopy’s machine learning models are trained without labelled data, allowing it to learn what normal behavior looks like without requiring annotated failures. It continuously monitors the health of machines, tracks performance in real-time, and sends dynamic and contextual alarms to detect abnormalities in any operating condition, making the alarms more meaningful and reducing unnecessary notifications.
The software is designed to fit various industries, ranging from manufacturing to wind power to solar energy. Canopy provides advanced visualisations and tools that show the machine state in different ways, allowing companies to explore developing issues from sensor level investigations to higher-level alarms. It empowers users to resolve issues together and work in one place while looking at the same data from all possible angles.
Canopy is remotely deployed, which means it does not require any hardware installation, allowing for fast product deployment. It also offers user-friendly interactivity based on the client’s needs, making it an intuitive software to use. Canopy is trusted by customers around the globe and is built on intensive customer feedback.
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Has Canopy been developed with intensive customer feedback?
Yes, Canopy has been developed with intensive customer feedback. It’s a highly collaborative environment that is built to fit the workflow of the customer, and this user-oriented development approach helps ensure that Canopy stays aligned with its users’ needs and expectations.
How does Canopy predict machine component failure?
Canopy uses historical data and fully unsupervised learning to predict machine component failure. It trains machine learning models on this data without the need for labelled data, learning what normal behavior looks like, and extrapolating what constitutes abnormal behavior. Any abnormalities detected in the data will be caught by Canopy, regardless of the cause.
Can I get real-time performance tracking with Canopy?
Yes, you get real-time performance tracking with Canopy. It allows you to track components with abnormal behaviour and receive notifications of underperformance. This real-time monitoring enables prompt action, preventing potential issues from escalating into serious problems.
What are the benefits of Canopy’s remote deployment?
Remote deployment of Canopy offers several benefits. It doesn’t require any hardware installation which saves time and resources during product deployment. This allows for a fast and efficient deployment process, reducing the strain on equipment and staff, and enabling companies to benefit from Canopy’s functionality in less time.
