The Sentio box is an edge device performing... July 12, 2020 By Analog Devices According to Analog, the acquisition expands its growing product line of condition-based monitoring solutions. A lot of time has been spent following our customers’ feedback to develop a human-machine interface (HMI) that enable engineers to efficiently interact with OtoSense to design event recognition models. Portable maintenance solution to perform on-site inspection of assets, even out in remote field sites. Enhanced quality control for 100% of the assets on production line, compared to traditional methods of sample testing. OtoSense detects the early warning signs of deterioration and alerts technicians. Gartner predicts edge data generation and processing will increase from 10% (2018) to 75% (2025). For additional information you may view the cookie details. The massively positive feedback from his fellows at MIT and from the business community led him to found OtoSense in early 2014, and to develop what is the first AI focused on making sense of any sound. Anomaly detection and recognition models are created on the OtoSense AI software and pushed to an edge device, where they run locally. This article details the architecture of OtoSense, a machine health monitoring system that enables what we call computer hearing, which allows a computer to make sense of the leading indicators of a machine’s behavior: sound and vibration. 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. We can all be grateful to Analog Devices Inc for such a good otosense application. Features belong to the physical realm, while meaning belongs to human cognition. Lessen unplanned factory downtime, increase productivity, and improve allocation of maintenance resources. This acquisition builds on Analog Devices’ 2018 addition of OtoSense, a startup that developed “sensing interpretation” software able to learn and recognize sounds or vibration and … Read about Analog Devices’ … OtoSense has been designed to learn from multiple experts and allow for more and more complex diagnostics over time. A new recognition model and outlier model that includes this new information is computed and pushed to edge devices. Detects a larger amount of defective units to reduce re-tests, customer returns and warranty costs. The predictive maintenance software provides a full range of turnkey solutions. Analog Devices plans to combine software from OtoSense with Test Motors’ monitoring capabilities to create solutions that offer an advanced, wholistic snapshot of machine health by capturing a wider breadth of potential faults. The same soundscape would be divided, organized, and labelled differently by auto mechanics, aerospace engineers, or cold forging press specialists—or even by people in the same field but at different companies. OtoSense enables starter, APU, or ECS checks during line maintenance. You can easily extract detailed … Real time condition monitoring of any asset. Flexible Manufacturing Tech Highly Adaptable to Today's Evolving Challenges, Quenching Thirst With Energy Efficient Condition-Based Monitoring (CbM) Technology, How Condition-based Monitoring (CbM) Technology Makes Desalination More Energy Efficient, From Now to Next: Accelerating the Path to Industry 4.0, Analog Devices: Industry 4.0 - AI on the Edge, AI Driven Embedded Sound and Vibration Recognition, Next Generation Condition-Based Monitoring, Analog Devices Acquires Test Motors to Expand Condition-Based Monitoring Offerings for Industry 4.0, Making Sense of Sounds, or How Analog Devices’ AI Can Boost Your Machine Uptime. 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