Brake manufacturer Brembo is opening a “Brembo Inspiration Lab” in California’s Silicon Valley (USA) to strengthen the company’s “expertise in software development, data science and artificial intelligence.” The Brembo Inspiration Lab is expected to open in the fourth quarter of 2021. No details of the associated investment have yet been released.
Under extensions to an agreement first signed in 2019, tyre maker Hankook and the Korea Advanced Institute of Science and Technology (KAIST) will continue and expand operations at the HK-KAIST Digital Innovation Center, which is located within the Hankook Technodome in Daejeon, Korea.
Automated vehicle inspection company ProovStation is adopting a Michelin technology in order to enhance its artificial intelligence-based car inspection solution. The addition of Michelin QuickScan will enable ProovStation to “check tyre wear automatically and instantaneously with millimetre precision.”
Continental is further expanding its non-tyre activities through the acquisition of a minority stake in German-US start-up Recogni. The investment took place as part of the US$48.9 million Series B financing round announced by Recogni on 17 February. Both companies have agreed not to disclose the amount of the holding.
Yokohama Rubber reports it has developed a system that utilises artificial intelligence to predict the physical properties of rubber compounds, and from this breakthrough that it achieved last December has produced a proprietary system that is already being used to design rubber compounds for Yokohama tyres. The manufacturer expects that the system’s ability to conduct a large number of virtual experiments will accelerate compound development, reduce development costs and lead to the development of better-performing products. In addition, the system will simplify the compound-creation process for less-experienced engineers.
Hankook Tire has released a video that explains its work on pre-emptive road risk detection technology in collaboration with data and technology company SK Planet. The result of this joint effort is the Road Hazard Prediction & Detection Solution.
Nexen Tire has shared details of how it has used Artificial Intelligence (AI) and big data-driven methodology to help reduce tyre noise. The big data research for Noise, Vibration, and Harshness (NVH) was jointly conducted with Hyundai-Kia Automotive Group and Inha University in Korea. The results of the braking test performance on snow, hydroplaning, and wet surfaces showed internal and external noise generated by cars can be reduced by 1 dB (decibel) and 3 dB (decibel), respectively.
While 46 per cent of the global population is still without internet access, the Covid-19 pandemic has demonstrated the effectiveness of digital technologies. And specifically companies such as Pirelli are now better prepared for a possible second wave of Covid-19 because of the digital technologies they have deployed. Pier Paolo Tamma, SVP and Chief Digital Officer of Pirelli and Dr John O’Shea of Dell Technologies shared their views at the Global Manufacturing and Industrialisation Summit’s Virtual Edition on 8 July 2020.
Toyo Tire Corporation says it is employing materials informatics (MI) in its tyre development to predict the properties and optimise the material structure of the rubber materials it works with. MI is a component of Toyo Tire’s ‘Nano Balance Technology’ rubber material development platform, and was realised in collaboration with SAS Institute Japan.
In addition to the recently-announced application of artificial intelligence and digital sensor technology to automate the inspection of newly-manufactured tyres, Hankook Tire aims to improve the production flow in its factories via a new monitoring system that utilises artificial intelligence and IoT technology. It calls this Hankook Condition Monitoring System Plus, or CMS+ for short.
Artificial intelligence (AI) and digital sensor technology is being employed to automate the inspection of freshly-manufactured tyres at Hankook Tire & Technology’s production facilities. Hankook says its automatic inspection system will improve efficiency and consistency at the final stage of product testing.
Statistics on reported road casualties in Great Britain show that there were 1,870 reported road deaths and 27,820 people killed or seriously injured reported to the police for the year ending June 2019. Now more than ever the younger generations want to change the future of their worlds, with 69 per cent stating when asked that they would like to use a career in science, technology, engineering and maths (STEM) to improve the world they live in and make a difference, and the issue of road casualties is something that a Year 9 student from Reading wanted to put a stop to.
UVeye is a provider of artificial intelligence (AI) based solutions for automatic external inspection of vehicles within the security industry. Initially developing systems to detect dangerous conditions like weapons, explosives, or other threats in some of the world’s most high-security locations, the company saw the opportunity to use its technology to solve challenges in the automotive industry to detect potentially hazardous mechanical issues. Its suite of products includes its original undercarriage application (Helios), its revolutionary 360 solution (Atlas), and its targeted tyre application (Artemis). The company explains why it believes AI technology will help shape the future standard for vehicle inspection, increasing the speed, efficiency and accuracy of tyre checks at every stage of a vehicle’s lifecycle.
Sumitomo Rubber Industries, Ltd. has developed a new technology that uses artificial intelligence (AI) to estimate the properties of the rubber used in its tyres and also detect the structural changes that occur during use. It calls this technology ‘Tyre Leap AI Analysis’.
At the start of April 2019, Bridgestone formally completed its billion-dollar acquisition of TomTom Telematics. The goal – as ever – is to capitalise on the benefits of big data, leveraging its usefulness in the cause of better tyres and greater efficiency for all stakeholders. Of course, Bridgestone is not the only tyremaker seeking to make the most of tyre data. Many have invested significantly in developing cyber tyres over the course of the last 10 to 15 years, harnessing the fact that tyres are a vehicles’ only point of contact with the road and therefore the only means of generating real-time road surface:vehicle contact data. This same approach also yields tyre condition and performance data, which can be used for everything from motorsport to commercial fleet applications. But what about in the manufacturing process itself?