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By combining real-time images and data in a single view, you can quickly identify problems and deviations from normal operation

Vision assistant monitoring tool add-on improves plant efficiency

The ifm Vision Assistant is a software package that makes it easy to capture images from vision sensors in machine and process applications. The new monitoring tool add-on for the Vision Assistant takes this functionality a step further by allowing users to display plant data alongside images in the same dashboard. This gives users a comprehensive at-a-glance overview of all critical aspects of plant operation, making it much easier to identify problems and deviations from normal operation.

Key benefits:

Easy to install, configure, and use

Allows easy integration of new and existing sensors

Supports analysis of past trends and process status

Compatible with all versions of Vision Assistant from Version 2.6 onward

How it works:

The monitoring tool add-on for the Vision Assistant works by connecting to the vision sensors in your plant and retrieving data from them. This data is then displayed alongside the images from the sensors in a single dashboard. The data that is displayed can be customized to show the information that is most important to you.

For example, you could display statistics on good and reject parts, current production rate, or status information from critical sensors. By combining real-time images and data in a single view, you can quickly identify problems and deviations from normal operation. This information can then be used to take corrective action and improve plant efficiency.

How to get started:

The monitoring tool add-on for the Vision Assistant is available now. To get started, you will need to:

Install the Vision Assistant software.

Install the monitoring tool add-on.

Connect the vision sensors to your plant.

Configure the monitoring tool to display the data that you want to see.

The ifm Vision Assistant monitoring tool add-on is a powerful tool that can help you improve plant efficiency. By combining real-time images and data in a single view, you can quickly identify problems and deviations from normal operation. This information can then be used to take corrective action and improve your bottom line.

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