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Process and Control Today: The Evolution of Vision Systems in Robotics

The Evolution of Vision Technology in Robotics: Enhancing Efficiency and Accuracy for Manufacturers

The Future of Robotics: Embracing Vision Technology

Date: April 12, 2025
By: Oliver Selby, Head of Sales, FANUC UK Ltd

As industries continue to evolve, one technology stands out for its transformative potential: vision technology in robotics. For decades, this technology has been integral to enhancing manufacturing efficiency and precision, particularly in areas such as quality control, measurement, and product positioning. With recent advancements and significantly reduced costs, now is the ideal moment for businesses to consider investing in robotic solutions equipped with vision capabilities.

A Brief History: From PC-Based Vision to Integrated Solutions

Historically, the realm of robotic vision was dominated by PC-based systems, where the computing power resided in the computer controlling the camera. Over time, robots began to integrate vision technologies directly into their systems. FANUC’s IR vision, a fully integrated 2D and 3D detection solution, is a prime example of this evolution. It allows robots to "see" and respond to their environment, enhancing their functionality.

The Rise of Smart Cameras and AI

In recent years, we’ve seen a notable trend toward smart cameras and, for more advanced tasks, industrial PCs employing artificial intelligence (AI). Smart cameras excel in simpler applications, enabling robots to identify parts, perform measurements, and conduct basic quality checks.

However, as the complexity of tasks increases—especially those requiring high-speed operations or exceptional accuracy—industrial PCs become essential. A prime example of this is London-based Recycleye, which has harnessed proprietary AI vision technology in collaboration with FANUC’s 6-axis LR Mate robots. This partnership has revolutionized the detection and sorting of mixed recyclables—transforming a largely manual process into a highly efficient, automated one. The results have been remarkable, with sorting accuracy improved by 12% and line output increased by 10%. This not only bolsters the profitability of waste management operators but also addresses labour shortages in the industry.

Reliability and Cost-Effectiveness of Modern Vision Systems

As demonstrated by Recycleye, vision cameras are enhancing the reliability of robotic applications in demanding environments. By validating product placement and quality, these systems significantly contribute to operational efficiency. Notably, the costs associated with industrial vision technology have decreased substantially, making it accessible at price points comparable to smart sensors. Consequently, integrated vision capabilities have become the norm in modern robotic systems, rather than an optional, costly add-on.

Advancements in camera technology have further enhanced the robustness of these systems. Today’s robotic vision solutions can operate efficiently in both 2D and 3D applications, even in traditionally challenging environments. Unlike earlier models that relied solely on visible light and basic pattern matching, modern systems can use various wavelengths and stereovision techniques to improve reliability. This allows them to work effectively in adverse conditions, filtering out disruptive elements such as sunlight or welding sparks.

Looking Ahead: The Next Frontier in Robotic Vision

The future promises exciting developments in robotic vision, particularly in the realm of safety. There is a growing trend toward employing industrial camera solutions for safety management in collaborative applications, moving away from traditional systems like light guards. While this technology has existed for some time, its high costs have limited widespread adoption. However, affordable industrial camera options from companies like SICK are set to change this landscape, improving robotic safety in environments shared with humans.

Moreover, we can expect an increase in the integration of smart camera systems into established robotic models. Innovations like Mech-Mind’s 3D smart camera technology, which can accurately detect dark, reflective, and even transparent objects, will further enhance the capabilities of FANUC robots.

Conclusion

The intersection of robotic technology and vision capabilities is set to redefine efficiency and reliability in manufacturing and beyond. With advancing technology and reduced costs, businesses that embrace these innovations now will be well-positioned to thrive in an increasingly competitive landscape. As we move forward, the integration of smarter, safer, and more efficient robotic systems will undoubtedly be a cornerstone of industrial progress.

For more information on robotic vision technology and how it can benefit your operations, please contact us to explore our offerings.


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