OMNIR offers many features under our DataSense Architecture™ principle. OMNIR was built to be used on a Microsoft platform (Win 7 and newer) and SQL database. Using Microsoft software and databases means companies and their employees will be familiar with the interfaces and integration methods. Keeping everything relatable to the user is key to faster startup, training and adoption. The Windows application is clean and simple. It can be run on a tablet or desktop. It easily connects to the sensor on the production line.
The sensor was designed so that its technology can be regularly improved to take advantage of innovation. One of its most unique features is that it can be upgraded via the cloud. This means a user, with an Internet connection, can download the latest version of software without sending it in to Finna Sensors. Similar to a phone application, the OMNIR application will reach out to the web to find the newest compatible version. Finna Sensors provides these updates as it gathers suggestions for users around the world. The company’s Persistent Innovative Development™ cycle ensures regular upgrades will be released to drive innovation.
Finna Sensors understands that data drives success, therefore, the sensor has robust factory floor integration options that allow it to pass rich measurement data and sensor health information. Finna Sensors built in 19 continuously monitored data points to report on sensor health. This gives the user confidence that the sensor is functioning properly and that it is within calibration. It also will foster faster troubleshooting and repair if anything requires service in the future. Techs can remotely view alarms to quickly determine the part needing attention.
OMNIR was built for a networked future where data is shared between systems to be used by humans to make operational decisions. Analytical tools are built in to the software to enable this future. Shift reports can be created to show results each day to spot opportunities for improvement. Historical charts help users dive deeper into the data for ways to optimize processes. More data can help, but it can also be overwhelming. The reporting and analysis software in OMNIR makes the large data sets useful for users so that the data is actionable.
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