Premium tyre maker Hankook is collaborating with SK Planet, a leading Data & Test company, to develop a monitoring system that identifies potential traffic risks in real-time. The “Road Risk Detection Solution” uses artificial intelligence (AI) and deep learning technology to analyse road noise of passing cars and thus to identify potential risks on the road such as rainfall, snow, black ice, and accidents, as well as other dangers. The data is then reported in real-time to various public transport safety and maintenance departments. Countermeasures such as the removal of excess snow or the repair of potholes can then be initiated in a timely manner.
The use of artificial intelligence requires a wide range of different noise data as possible to function effectively. Hankook will provide diverse data to SK Planet to improve and increase the accuracy of the technology. The data will be collected at the test driving tracks in Geumsan, Korea, and Ivalo, Finland. As soon as the development is completed, the system is expected to be adapted and implemented to road traffic surveillance and control in the winter. SK Planet holds the patent for sound processing and the deep-learning technology that makes this solution possible.
“Safety is Hankook Tire’s top priority. Our partnership with SK Planet to build a risk detection solution thus contributes to safe driving as our core corporate purpose. Aligned with Hankook Tire’s commitment to digital transformation, this partnership will also further advance the automotive industry”, explains Dipl.-Ing. Klaus Krause, head of the European research and development center at Hankook.
Hankook is leading digital innovation in the automotive industry, obtaining visible results in technology-based innovation. In addition to this joint project with SK Planet, the company has been working closely with the Korean university KAIST (Korean Advanced Institute of Science & Technology) on future technologies and partnerships between industry and academia. The two parties are focusing on securing innovative R&D and digital technology capabilities through digital transformation.
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