How Recognition Robotics is Leading the Race to Industry 4.0
In the automotive manufacturing industry, technology has the power to change the way companies operate by boosting efficiency and reducing downtime.
Robotic vision systems have transformed the way plants are run, which allows personnel to focus more heavily on high-level tasks.
Automotive manufacturers understand the importance of adopting this technology to stay ahead of the competition. In fact, according to ResearchandMarkets, the automotive robotics market was valued at $9 billion in 2020 and is expected to reach $16 billion by 2026.
Today, the race to achieve Industry 4.0 is more prevalent than ever, and Recognition Robotics is paving the way with elevated connectivity and advanced autonomous technology.
Seamless connectivity is the backbone of Industry 4.0, and the ability to easily control and monitor vision-guided robotic systems are key for augmented production.
To varying degrees, technology is used throughout automotive manufacturing plants to perform a variety of tasks, from product assembly to bin picking. Several systems within a single plant may be assigned to complete different tasks. The more robotic vision systems a company has in place, the more important it is to have a central system to simultaneously monitor those systems for potential updates and repairs.
While some robotic software companies require automotive manufacturers to individually monitor each of their systems, Recognition Robotics’ new product dashboard, housed within its Product Administration Suite, allows users to remotely view, change, backup and restore all of their products within one application.
Immediate Data Collection
Initially, vision-guided robotic systems were designed only to perform a task. Now, many of them are used to both perform a task and collect data, which has become key for understanding and optimizing the product lifecycle.
This data is often used to assess productivity and identify areas of improvement in the production process. For example, data collected from these systems can pinpoint slowdown patterns in assembly lines. From there, plant personnel can troubleshoot those issues, which results in a smoother assembly method. In other instances, this data can be used to conduct quality assessments to ensure that products are built correctly, safely and as efficiently as possible.
Recognition Robotics’ Product Administration Suite also provides immediate data collection within the application, which allows plant personnel to identify and fix issues as well as make changes to the production process more quickly.
Historically, for a vision-guided robotic system to successfully perform a task, such as bin picking, the objects had to be precisely positioned for the system to identify them. A misplaced object could abruptly stop the assembly line and require plant personnel to walk to the station to make the necessary adjustments.
Recognition Robotics, however, designs software that can identify an object in only a matter of seconds. CortexRecognition®, for example, sees acquisition times of less than 500 milliseconds for recognition, localization and data availability to the robot. Technology like this is critical for keeping production lines moving and avoiding costly downtime caused by displaced objects.
As companies begin integrating connected, data-collecting technology that can better identify, locate and place objects, they’ll unlock the door to Industry 4.0—and unprecedented growth.
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