Tire Technology & Manufacturing

Unlike traditional automation that relies on predefined instructions, AI-driven systems learn, adapt and make real-time decisions through machine learning and data analysis. This shift enables businesses to handle complex, dynamic environments with greater flexibility and precision, continually improving and optimizing based on real-world conditions. AI-powered automation predicts needs, identifies inefficiencies and evolves with each interaction, facilitating faster and smarter decision-making, without human intervention.

The Yokohama Rubber Co., Ltd., has begun practical testing of a technology that uses artificial intelligence (AI) to gauge air pressure from the sound made by tapping truck and bus tires. Using AI to gauge tire air pressure from the sound made by tapping the tire, which previously relied on the driver’s experience, will provide logistics companies with solutions to various issues, including safe vehicle operation via improved air-pressure measurement, cost reductions and greater operational efficiency through labor-saving, and raising fuel efficiency by appropriately managing tire air pressure.

The Continental Executive Board has decided to spin off the Automotive group sector following its detailed evaluation announced in early August. Subject to the approval of the Supervisory Board in March 2025, the spin-off will be presented for resolution to the Annual Shareholders’ Meeting of Continental AG on April 25, 2025. The spin-off is expected to take place by the end of 2025. The preparations for it are to be completed by the end of the third quarter of 2025. 

As farms grow and fields get farther apart, farm equipment—especially tractors—spend more time on the road. Getting from field to field smoothly and quickly is crucial for productivity. Choosing tires that match your operation’s in-field and on-road needs ensures safe, efficient and comfortable road travel while maintaining performance in the field.

NEXEN TIRE has announced the development and implementation of its AI-based automated tire product inspection system. As the first instance in the tire industry, the system has been developed in a platform format, allowing easy application to new factories or equipment. With the introduction of this automated product inspection system, NEXEN TIRE, which has been expanding AI applications in the tire development process, has now extended the scope of AI utilization to manufacturing processes.