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Exclusive Interview With Kansai

Merve Samiye Kirazlı | Color R&D Laboratory Manager at Kansai Altan

Ahead of Merve Samiye Kirazlı presentation on 'Determination of colour terms based on perception and establishment of an automatic color naming system' we wanted to give a sneak peek into their session and get some exclusive insights.

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1. What was the impetus for your study on colour naming, and what do you plan to share in your presentation?

The impetus for our study was the need to improve our own processes, which required us to first model the colour naming system effectively. We aimed to understand how human communities, often overlooked and considered less important, perceive and name the colours they see. It was truly fascinating to investigate the influence of language and culture on colour naming. Subjective naming can sometimes lead to simple errors and process blockages. When trying to avoid naming errors due to subjective evaluation and seeking others' opinions, consensus might not be reached, resulting in a significant expenditure of time in any case.

In my presentation, I plan to share our findings with "colourful" people at the conference, including our discoveries on colour terms and the development of an automatic colour naming system. Additionally, I will discuss how we have applied these insights to automate and enhance efficiency and accuracy in our factory processes.

2. What is your biggest driver as a business today? 

Our biggest driver today is our passion for exploring the science of colour. While colour might seem simple and accessible to everyone, it is a complex and fascinating field. We aim to go beyond just producing paint; we want to reflect the full potential of colour science. By doing so, we can create products that not only gain an aesthetic appearance but also connect deeply with human perception. We find excitement and fulfilment in pushing the boundaries of our knowledge and advancing our field through a scientific approach.

3. What do you think will be the biggest challenge for the pigments sector in the coming 5 years?

The biggest challenge for the pigment industry in the next five years will be the increase in raw material shortages and the stringent regulations that will encourage us to create alternatives, especially in materials such as TiO2. Additionally, the seamless availability of biobased and recycled materials with a high percentage content that will meet the durability and quality standards required for paint is another challenge, as most of these materials are still in the experimental phase and have not reached the mass production stage. Another important challenge is the integration of advanced technologies such as artificial intelligence (AI) and machine learning into R&D, production and quality control processes. While these technologies have the potential to increase efficiency and accuracy, their adoption will require significant investments and adaptation. Balancing these technological advances with the need to develop sustainable and environmentally friendly products will require constant innovation and adaptation. Overcoming these challenges is critical to maintaining product quality and meeting the changing demands of both consumers and regulators.

4. What do you see as some of the most interesting developments in the market now? 

One of the most interesting developments in the market is the increasing use of AI and machine learning in colour matching and formulation processes. These technologies are revolutionising the way that we are managing colouring processes with a more precise and efficient approach. Additionally, the development of sustainable and eco-friendly pigments, as well as the application of nanotechnology to enhance pigment properties, are noteworthy advancements. 

5. What are you most looking forward to at the event? 

At the event, I am most looking forward to coming together with industry experts and exchanging insights and ideas on the latest advancements in pigment and colour technology. Networking with other professionals and discussing the future of AI in colour science is something I particularly anticipate.