Omron: Focusing on Data and Robotics
In many packaging and production facilities, the demand for automated material transport is growing—yet without requiring extensive interventions in existing layouts or ongoing processes. This is precisely where the OL-450S comes into play. This autonomous mobile robot handles transport tasks using existing transport carts and can be integrated into existing facilities without the need for extensive modifications. The system is designed to operate reliably even in confined spaces, areas with limited overhead clearance, or under varying floor conditions.
At its trade fair booth, Omron is demonstrating the OL-450S equipped with a fully integrated VHV5 camera. This camera enables the detection and identification of QR codes and barcodes directly while the robot is in motion. As a result, material flows can be controlled with greater precision, and traceability requirements can be implemented more easily.
Furthermore, Omron has expanded the OL-450S product portfolio. The mobile robot is now available in various configuration options: without a mast, with a low mast, or with a high mast. For particularly dynamic production environments, Omron also offers an optional tower module. This module positions the localization laser above typical obstacles, thereby ensuring stable navigation even in environments with frequently changing layouts or variable staging areas.
Control Technology, Machine Vision, and Data Management
However, the OL-450S represents just one part of Omron's trade fair presentation. Another key focus lies on the areas of control technology, machine vision, and data management. Omron is observing a persistently high demand, particularly in the field of machine vision. However, Benjamin Papst, Regional Marketing Manager at Omron, offers a nuanced perspective on this trend: “I wouldn’t go so far as to say that machine vision is growing significantly faster than other sectors. Overall demand is very high—across the board, including machine vision, control technology, and robotics. Quality standards are continuously rising, which is why many companies are engaging intensively with these technologies.”
Interest in data—and its utilization in production—is currently particularly strong. According to Papst, many companies are seeking concrete application examples and reliable empirical data. “Many are asking themselves: Who has already implemented this? What were the benefits? What is the actual increase in efficiency?” he explains. Consequently, numerous companies are initially launching pilot projects or setting up test rigs to gain practical experience.
The aggregation and analysis of production data play a crucial role in this process. To this end, Omron has developed a controller that consolidates data from various sources and transmits it to higher-level control systems. However, the true added value is realized only through the subsequent analysis of this information. “The next step involves asking: What do I do with this data? Which data do I actually need, and what is it that I ultimately want to improve?” says Papst.
New Requirements for Sensor Technology and Infrastructure
This gives rise to new requirements regarding sensor technology and infrastructure. Consequently, Omron is increasingly assisting customers in developing data-driven analytics and service concepts. Working in collaboration with machine builders and manufacturing companies, they analyze precisely which information is truly relevant and what hardware is required to capture it.
“Our background lies in the hardware layer, so we are able to assemble the appropriate puzzle pieces,” explains Papst. These include, for instance, sensors equipped with IO-Link interfaces or components capable of providing lifecycle data. This makes it possible, for example, to determine the age of a specific component or to detect when maintenance is becoming necessary. Similarly, data regarding throughput or the actual utilization rate of a system can be captured. For Omron, the convergence of automation, data transparency, and intelligent analytics represents a pivotal step in the evolution of modern production systems. Interpack serves as a platform to demonstrate concrete applications and to engage with users regarding practical deployment scenarios. Particularly within the packaging industry, the demand is growing for flexible, data-driven solutions that can be seamlessly integrated into existing production environments without requiring extensive integration effort.
