ODIN IOT enables the scheduling of just-in-time preventative maintenance by leveraging the power of on-device vibration analytics and machine learning. Pairs best with our Raven sensor.
Our ODIN Raven sensors connect to the ODIN IOT platform, allowing you to obtain meaningful, real-time utilisation and vibration data from your newest to your oldest machine.
Never miss out on crucial metrics with custom alerts and notifications based on your data. Immediately discover harmful operating conditions by configuring alerts for your data. Notifications are sent to the specified parties for any of the widgets you created in your personal or organisation-wide dashboards.
Compare your assets’ data at a glance with user-defined dashboards, displaying only the metrics most relevant to your persona. Investigate the patterns in vibration signals for your asset, enabling you to monitor its overall condition in comparison to established standards or your own maintenance history. Share your private dashboards across your organisation or with selected individuals. Export dashboards as pdf or png/jpg files according to a schedule, straight to your email. Export individual widget data as csv file for use in other applications or services.
Onboard a sensor for your organisation using our mobile app. Then simply scan your ODIN Master Data QR code to link/associate a sensor with your asset and begin visualising your vibration data in real time.
Our compact Raven sensors are installed via a magnetic base and are micro-USB powered, ensuring that you never need worry about maintaining your sensor. Calculations are performed on your raw vibration data, onboard the sensor, which enables the streaming of insightful and actionable data without the need for gateway data processing before streaming it to the cloud.
By integrating your Raven sensor with our ODIN Maintenance application, you can automatically trigger your pre-defined maintenance routines based on Raven sensor data. Alternatively, monitor your asset utilisation metrics directly inside ODIN Maintenance to decide when it is the right time to act on your maintenance plans.
Ever wondered whether you are getting the most out of your machine or asset? Our Raven sensor reports your asset’s operational state based on an asset-specific machine learning inference, allowing you to monitor exactly how your asset is utilised throughout the days, weeks and months. Each Raven sensor learns your asset’s specific vibration profile and outputs the asset operational state as per your definition. Machine learning models exist on the sensor and not in the cloud, ensuring real-time inference without delay.
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