Tire tread wear determination system and method using deep artificial neural network
AssigneeAutopedia Co., Ltd.
InventorsJaeyoung JO, Bosung KIM
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Abstract
A tire tread wear determination system using a deep artificial neural network according to an embodiment of the present disclosure includes an image receiving unit that receives an image of a tire tread, an image dividing unit that generates an image in which a tire part and a background part are divided from the image received by the image receiving unit, and an output unit that outputs wear level of the tire tread from the image generated by the image dividing unit as one of normal, replace, or danger using a trained deep artificial neural network.
Claims10
A tire tread wear determination system using a deep artificial neural network, the system comprising:
- an image receiving unit configured to receive an image of a tire tread;
- an image dividing unit configured to generate an image in which a tire part and a background part are divided from the image received by the image receiving unit;
- and
- an output unit configured to output wear level of the tire tread from the image generated by the image dividing unit as one of normal, replace, or danger using a trained deep artificial neural network.
A tire tread wear determination method using a deep artificial neural network, the method comprising:
- image receiving to receive an image of a tire tread;
- image dividing to divide a tire part and a background part in the image received in the image receiving;
- training to train a deep artificial neural network with images each labeled as normal, replace, or danger depending on a degree of tire wear based on conditions of the tire tread and shade information between treads;
- and
- outputting to output wear level of the tire tread from the image generated in the image dividing as one of normal, replace, or danger using the trained deep artificial neural network.
Dependencies are inferred from the claim text.