Continuing Our Investment In Manufacturing Quality

Ensuring our automated control processes are up to date and using the most effective and advanced technology is paramount.

That's why we recently installed a Vision machine learning camera system by Keyence.

Nordell, Keyence and Haitian teams worked together to implement the system successfully.

Improving Quality

In the ever-evolving manufacturing landscape, companies are continually seeking innovative solutions to enhance production efficiency, improve product quality, and reduce failure rates.

Nordell, a leading player in the industry, has recently invested in Keyence's Vision Machine Learning Camera System, signalling a commitment to staying at the forefront of technological advancements.

This move aims to revolutionise Nordell's plastic injection moulding processes, offering a range of benefits, including heightened quality control and minimised failure rates.

What Is The Vision Machine Learning Camera System?

Keyence's Vision Machine Learning Camera System represents a leap forward in manufacturing technology.

It integrates cutting-edge machine learning algorithms with high-resolution cameras to provide real-time analysis and decision-making capabilities.

This system can accurately identify defects, deviations, and anomalies in the production process, enabling swift corrective actions and preventing non-conforming products from reaching the market.

How Does It Help?

The Vision Machine Learning Camera System is equipped with advanced image processing capabilities, allowing it to inspect products at a level of detail that surpasses traditional methods.

The system's ability to analyse visual data in real time significantly enhances Nordell's quality control processes, from detecting minuscule defects to ensuring all key components are in place.

Production failures can be costly in terms of both time and resources.

Keyence's Vision Machine Learning Camera System is designed to proactively identify potential issues before they escalate into full-blown failures.

By continuously monitoring the production line, the system can detect deviations from the desired specifications, trigger alarms, and even halt the production process if necessary.

This proactive approach minimises the failure rate and contributes to cost benefits over the long term.

Blending Human & Artificial Intelligence

While automation plays a crucial role, Nordell recognises the importance of human expertise in the manufacturing process.

The Vision Machine Learning Camera System is designed to complement human efforts rather than replace them entirely.

By automating routine inspection tasks, the system allows Nordell's team to focus on more complex and value-added activities, fostering a collaborative environment that maximises efficiency and expertise.

Sustainability

Beyond the immediate gains in quality control and reduced failure rates, Nordell's investment in Keyence's technology aligns with broader environmental considerations.

By minimising the production of defective or substandard products, the company reduces its overall waste and environmental footprint, contributing to sustainability goals and demonstrating a commitment to responsible manufacturing practices.

Nordell's strategic investment in Keyence's Vision Machine Learning Camera System is a testament to the company's commitment to continuous improvement and innovation.

By harnessing the power of advanced machine learning and vision technology, Nordell aims to elevate its production quality and reduce failure rates, ensuring it remains at the forefront of the ever-evolving manufacturing landscape.

Read more about Nordell's sustainability ambitions and actions.

Posted 6 months ago By Nordell HQ Manufacturing, Plastic Injection Moulding, Quality, Sustainability

Continuing Our Investment In Manufacturing Quality

Improving Quality

What Is The Vision Machine Learning Camera System?

How Does It Help?

Blending Human & Artificial Intelligence

Sustainability

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