Iris Edge launched

28/05/2024

RDI Technologies, a pioneer in camera-based advanced vibration analysis solutions, has announced the launch of its latest innovation, Iris Edge. This new product is set to transform the field of vibration monitoring by bringing its state-of-the-art motion amplification technology to the Internet of Things (IoT) world.

Iris Edge is a camera-based vibration analysis tool that collects large-scale data and seamlessly transmits it to an IoT platform. Iris Edge combines Power over Ethernet (PoE), a pan-tilt mount and autofocus to make deploying cameras for vibration monitoring easier than ever before while delivering all the benefits of motion amplification. With Iris Edge, users can monitor, trend, alert, diagnose and troubleshoot an even larger field of view and provide the most flexible, most scalable and easiest deployment method for monitoring assets. Users will no longer need to contact their assets or even turn them off during installation; they can simply install a camera and monitor everything it can see.

 

   
  Iris Edge 

 

The key benefits of Iris Edge are:

  • It offers easy and flexible deployment through PoE, pan-tilt and autofocus;
  • It incorporates the full power of motion amplification into an IoT strategy;
  • It integrates vibration data into data systems through MQTT;
  • It can monitor multiple assets with one camera through user-defined pan/tilt camera views and virtually unlimited measurement locations.

“We are excited to bring Iris Edge to the market,” said Jeff Hay, CEO of RDI Technologies. “Iris Edge is a product that makes deploying camera-based vibration and motion amplification easier than ever. It is a product that our customers have been asking for, specifically to provide a camera that measures vibration, with highly flexible deployment and easy integration with their IoT systems.”

Iris Edge is said to be more than just a vibration analysis tool; it is a testament to RDI Technologies’ mission to deliver cutting-edge camera technology to reliability, predictive maintenance and test and measurement industrial settings.