Real-time surface inspection system using convolutional neural networks

画像: 畳み込みニューラルネットワークを使ったリアルタイム表面検査

In the last ten years, advances in sensing, communication, and control technologies have rapidly led the automotive industry into the fields of connected vehicles and autonomous vehicles to improve driving safety, comfort, efficiency as well as to reduce emissions. In these fields, the suspension system which reduces or eliminates vibrations transmitted to the vehicle body, is a key mechanical component in improving driving comfort. A recent market trend report [1] projects that the global automotive suspension market will grow from USD 42.9 billion and reach USD 50.7 billion in 2026 with a compound annual growth rate (CAGR) of 3.4%, due to the increasing demand on ride comfort and handling.


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