Self-care system with Edge AI to monitor Machine Health
Edge AI engine securely brings self-diagnosis to inside the equipment through the continuous transformation of physical sensor data into knowledge about equipment’s health and performance.
Detect machine states with self-learning capabilities
Get real-time visibility into operation and typical states of equipment. Let your machine continuously self-learn without human supervision.
Detect unwanted states and anomalies
By calibrating the Edge AI on the typical equipment operation, diagnose any abnormal behavior, and identify assets that require your attention.
Assess key machine metrics and analyze their trends
Evaluate key metrics that reflect the overall mechanical machine condition in real-time.
View real-time machine health
Understand the global health status of each machine and take control over your assets with a real-time machine-health diagnosis
Track machine health history and trends
Track changes in equipment health to detect the issue before it negatively impacts production.
Forecast machine lifecycle
Forecast Machine Health and key machine metrics of each asset to proactively predict equipment failure.
Trigger alerts and actions on premise
Be notified of destructive changes in machine health and its behavior. Apply advanced business logic to the machine data to drive fully automated actions.
Integrate with third party systems
Incorporate Octonion actions engine into your existing value chain to drive full automation.
Knowledge database for accurate diagnosis
Build a knowledge database of machine states and issues. Leverage experience from a range of assets to describe behavioral model for a given equipment type.
Share intelligence between a range of connected machines
Perform continuous learning of possible equipment conditions from multiple machines and accumulate them to the shared AI model. Exchange intelligence automatically with a range of assets ensuring that each machine has complete expertise locally.
Tailored to Your Needs
Quickly evaluate and customize machine intelligence to your specific equipment and ecosystem using a set of ready-to-use tools.
Personalize to your machine
Use Octonion AI Lab to customize intelligence for a particular equipment to ensure the desired quality of intelligence outcomes.
- Device-to-cloud solution for dataset management
- A preset of ready-to-use Edge AI pipelines
- No coding AI customization of Edge AI and Machine Health
Evaluate in real-life conditions
Use Octonion Intelligence kit for fast evaluation of machine intelligence in real-life conditions.
- Real-time visualization of Machine Health and historical analytics
- Recognition of industrial equipment states and detection of anomalies
- Learning of equipment conditions from multiple machines and accumulating knowledge in the shared AI mod
Build IoT solutions for predictive maintenance
Integrate Octonion Intelligence technology assets in your Industrial IoT solution.
- At the Edge, Octonion is easy to integrate into existing equipment thanks to out-of-box compatibility with Cortex-M microcontrollers. The Embedded Engine SDK gives the possibility to customize the Edge AI Engine and integrate into the final solution.
- Octonion provides a containerized architecture that seamlessly integrates into existing microservice-friendly applications.