Improving Your Machine Health with OtoSense Condition Monitoring

OtoSense is an AI-driven sensing and interpretation platform able to acquire, learn, and make sense of any uni-dimensional signal (sound, vibration, pressure, current, temperature …) at the edge, in real-time, both online and offline, for continuous condition monitoring and on-demand diagnostics.

A great leap forward in condition monitoring, OtoSense detects anomalies by itself and learns from interaction with your domain experts to identify faults and predict breakdowns before they cause costly downtime, damage, or catastrophic failure.

Safe, scalable, and certified (ISO 27001), OtoSense helps maintain machine health, is modular, is flexible, and can be deployed anywhere—on a manufacturing production line as well as on a Mars rover.

ADI OtoSense

A Range of OtoSense Solutions

OtoSense can be tailored to your individual needs, depending on your use case.

Quality Control

Enhance the quality control of 100% of the assets that leave the factory.

  • Identifies assets, integrates with industrial buses.
  • Outputs quality assessment score
  • Stores structured and searchable data

Continuous Monitoring

Real-time condition monitoring of your most valuable assets.

  • Processes incoming data continuously
  • Detects anomalies and recognizes events
  • Enables control over the data sent by the edge device

Field Diagnostics

Perform on-demand quality control of your assets once in the field.

  • Use any OtoSense-enabled tablet to perform field diagnostics offline
  • See the health score of your asset instantly
  • Each diagnostic increases accuracy and knowledge

Try Our No-Cost OtoSense Trial

Quickly evaluate OtoSense using sound or vibration samples from your assets. Collect a few minutes of data on your asset, upload it, and simply build a model. Then, check how OtoSense interprets your data across the user interface.

Try OtoSense

Contact the OtoSense Team

No-Cost OtoSense Trial

OtoSense Applications

OtoSense can be applied to a wide range of industries—reducing downtime, decreasing maintenance costs, and increasing productivity. Here are four examples.

Airlines

Airlines

Reduce the time and financial costs of aircraft on ground (AOG). OtoSense enables starter, APU, or ECS checks during line maintenance. The software provides immediate feedback on component health and furnishes diagnostic of any mechanical component or fluid motion—all with minimal impact on maintenance operations.

Waste and Water

Waste and Water

Identify failures such as leakage and cavitation in your waste and water plant. Optimize production and improve the quality control process. OtoSense reduces the time needed to perform the QC assessment of the asset while detecting and predicting new minor and major faults.

Energy

Energy

Monitor the entire power plant no matter how complex or large. Decrease the unplanned maintenance of large assets or those located in challenging environments. OtoSense enables the knowledge transfer of experienced technicians to better detect and predict anomalies, breakdowns, and catastrophic failures while maintaining machine health through condition monitoring.

Manufacturing

Manufacturing

Lessen unplanned factory downtime, increase productivity, and improve allocation of maintenance resources. OtoSense detects the early warning signs of deterioration and alerts technicians. The software enables predictive maintenance, helping to maintain machine health while reducing the cost of unnecessary scheduled maintenance.

OtoSense AI Software

OtoSense AI software is a full turnkey solution, adaptable to any implementation and environment, designed for real-time continuous condition monitoring and on-demand diagnostics. Make the most of its modularity and flexibility to extract value from your sensing data. Predict breakdowns before they happen and protect your most valuable assets.

Learn More About OtoSense AI Software

OtoSense AI Software

Why Choose OtoSense

OtoSense makes sense of any sound of vibration

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OtoSense is not limited to rotating machines. Its defaults encompass both frequency and time domain, allowing for the detection of transient events (the click of a fuel connector or the knock of an engine) and stationary sounds (the continuous hum of a pump or motor).

OtoSense is a holistic solution, monitoring a wide range of assets.

OtoSense processes data continuously

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OtoSense’s wired solution enables continuous condition monitoring and the collection of data without interruption, allowing for the detection and recognition of transient sound or vibration—the warning signs of an impending failure.

OtoSense models run at the edge, in real-time

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Anomaly detection and recognition models are created on the OtoSense AI software and pushed to an edge device, where they run locally. The edge device not only extracts sound and vibration features; it also runs the models in real time.

No need to send all the data to the cloud or be connected to it; you’ll be notified immediately, even with low network bandwidth, if an anomaly or a specific event occurs.

OtoSense does not require intervention by scientists or specialists

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A user-friendly interface enables any individual, whatever their level of expertise, to tag data and create event recognition models. No need to hire a data scientist or a signal specialist. The only resource personnel you may want to leverage is your in-house maintenance team.

OtoSense is scalable

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Only edge computing enables continuous condition monitoring that is fully scalable, offers near real-time insights, and facilitates local actions. OtoSense provides both sensing and interpretation at the edge, drastically reducing the amount of data required compared to cloud processing.

Gartner predicts edge data generation and processing will increase from 10% (2018) to 75% (2025).

Meet the scientist behind the science: Sebastien Christian

Sebastien Christian, OtoSense AI Engineering Director, has a unique understanding of human senses. Learn how he’s making sense of senses while revolutionizing machine learning.

Read about Sebastien

Sebastien Christian