Automatic Reading of Measurements

In industries that rely on measuring physical quantities such as temperature, pressure, and fluids, manual reading and recording of data from analog and not connected instruments can be time-consuming, prone to errors, and can lead to incomplete or lost data.

factoryNET > Automatic Reading of Measurements

Navigating Manufacturing Challenges

We developed a comprehensive solution for a prominent petroleum oil company to address critical hurdles:

Inability to remotely monitor manufacturing processes
High cost of upgrading or connecting individual instruments

Bridging the Analog-Digital Divide

Our solution was a response to an oil petroleum company open call. The solution is based on the Visual Recognition and Analytics module, driven by cameras and computer vision technology.

By utilizing cameras and machine learning algorithms, we are able to take a digital image of an instrument, identify the measurement value, and record the data in a database or other storage system. This eliminates the need for manual data entry, reduces the risk of errors, increases efficiency, and enables real-time monitoring of data.