Customers are looking for connected solutions that bring sensing, automation and visualisation together

Rupesh Desale, Managing Director, JUMO India Pvt Ltd.

How are advances in industrial sensors and machine vision changing the way smart factories capture, interpret and use real-time information from the physical production environment?

Smart factories are moving beyond simply collecting data. Today, the focus is on using that data to make faster and better decisions.

Modern industrial sensors continuously measure important process parameters such as temperature, pressure and flow, while machine vision systems provide visual information about products and processes.

When these different sources of information work together, manufacturers can identify changes, detect problems and improve processes while production is running. This can help reduce downtime, maintain consistent product quality and improve the use of machines and equipment.

Customers are increasingly looking for connected solutions that bring sensing, automation and visualisation together. Solutions such as the JUMO digiLine sensor platform, JUMO variTRON automation system and JUMO smartWARE SCADA help users collect plant-floor data, monitor processes and turn that information into useful decisions.

What is the significance of combining data from sensors, machine vision, PLCs, robots and other industrial systems, and how does data fusion improve the accuracy and reliability of manufacturing decisions?

In a smart factory, data from one machine or sensor gives only part of the picture. The real value comes from bringing information from sensors, machine vision systems, PLCs, robots and other systems together.

Automation Systems such as the JUMO variTRON 500 can collect and process information from different parts of a production process, while JUMO smartWARE SCADA provides a central platform for monitoring and analysing this information.

Combining data also helps manufacturers understand why a problem is happening. For example, if a machine vision system identifies a quality issue, process data such as temperature, pressure or machine operating conditions can help identify what caused it.

This gives operators a clearer picture of the process, helps reduce unnecessary alarms and supports faster problem-solving. Instead of looking at individual systems separately, manufacturers can see how different parts of the process are connected.

How can the combination of sensor data, visual information and historical production data help manufacturers detect anomalies early and move from reactive maintenance towards predictive and even prescriptive maintenance?

One of the key benefits of using production data is the ability to identify problems before they lead to a major failure.

When real-time sensor data is combined with machine vision and historical production data, manufacturers can identify changes in machine or process behavior at an early stage. For example, changes in temperature, vibration, energy consumption or product quality can indicate that something is not operating as expected.

By monitoring these changes over time, maintenance teams can receive early warnings and take action before a failure stops production. This can help reduce unplanned downtime, improve machine availability and control maintenance costs.

At JUMO, we see growing demand for solutions that make this type of monitoring easier. JUMO smartWARE SCADA, for example, supports trend analysis, alarm management and historical data evaluation, giving users a better view of how their processes and equipment are performing over time.

What technologies and architectures are needed to convert the enormous volume of sensor and vision data into actionable insights at the shop-floor level?

As factories generate more data, simply collecting it is no longer enough. The important part is making that data useful for the people operating the process.

Technologies such as Industrial IoT, AI, SCADA and real-time analytics can help process and organise this information. They allow operators to see important information quickly instead of going through large amounts of raw data.

JUMO variTRON 500 provides an automation platform for collecting and processing data, while JUMO smartWARE SCADA provides web-based process visualisation, monitoring and reporting.

Together, these solutions can help manufacturers bring information from the shop floor into one place, making it easier for operators and managers to understand what is happening and takeaction when required.

Beyond improving quality and reducing downtime, what measurable benefits can manufacturers expect from integrating sensing, machine vision and data fusion and what challenges must they overcome to achieve meaningful RoI?

The benefits of connected production go beyond quality control and maintenance. By using data from different parts of the production process, manufacturers can improve productivity, maintain more consistent processes, reduce energy consumption, minimise material waste and improve traceability.

Having better access to production data also helps teams make decisions faster and gives managers greater visibility into what is happening on the shop floor.

However, getting these benefits requires more than installing new technology. Many manufacturers have existing machines and systems that need to work with new solutions.

A practical approach is to start with a specific production challenge, such as reducing downtime, improving quality or monitoring energy consumption and then build the solution around that requirement. This makes it easier to measure the results and expand the system over time.

At JUMO, we see the future of manufacturing as a combination of accurate measurement, reliable automation and useful process data. By bringing these elements together, manufacturers can get a clearer view of their operations and make faster, more informed decisions.

Ultimately, sensors, machine vision and connected data can help manufacturers move from simply monitoring their processes to understanding what is happening, why it is happening and when action is needed.

(The views expressed in interviews are personal, not necessarily of the organisations represented.)

Rupesh Desale’s 15 year tenure in directorial role at Jumo India Pvt Ltd has been characterised by spearheading strategic market expansions and solidifying enduring client relationships. By leveraging top-tier presentation skills and an expertise in automation, the team has driven business growth and set new benchmarks in sales excellence.

The focus on innovation in instrumentation engineering and the cultivation of strong partnerships have been the cornerstone of the JUMO approach, enabling the organisation to transform market challenges into opportunities for development. With a commitment to excellence, JUMO India has consistently propelled the company forward in the competitive landscape of automation solutions.