The invention discloses a tire pressure state detection method based on vehicle identification through photographing and deep learning, and the detection method comprises the following steps: S1, a user shoots a real-time picture of a vehicle, S2, the vehicle is identified through photographing, S3, wheel information is called by returning the vehicle information, S4, a wheel detection model is used, S5, a wheel picture is cut, S6, a wheel classification model is used, S7, an automobile tire PC tire pressure classification model is used, S8, a light truck tire LT tire pressure classification model is used, S9, a truck and motor bus tire TB tire pressure classification model is used, S10, an agricultural vehicle tire AG tire pressure classification model is used, S11, an engineering truck tire OTR tire pressure classification model is used, S12, an industrial vehicle tire ID tire pressure classification model is used, S13, an aircraft tire AC tire pressure classification model is used, S14, a motorcycle tire MC tire pressure classification model is used, S15, the tire pressure is too high, S16, the tire pressure is normal, and S17, the tire pressure is too low. According to the method, the hardware cost of tire pressure identification is greatly reduced, the operation is simple, and the method is very convenient and easy to use for a driver.
本申请公开了一种基于拍照识车与深度学习的胎压状态检测方法,所述检测方法步骤如下:S1、用户拍摄车辆实时照片,S2、拍照识车,S3、通过返回车辆信息调取车轮信息,S4、车轮检测模型,S5、车轮照片裁剪,S6、车轮分类模型,S7、汽车轮胎PC胎压分类模型,S8、轻型载货汽车轮胎LT胎压分类模型,S9、载货汽车及大客车轮胎TB胎压分类模型,S10、农用车轮胎AG胎压分类模型,S11、工程车轮胎OTR胎压分类模型,S12、工业用车轮胎ID胎压分类模型,S13、飞机轮胎AC胎压分类模型,S14、摩托车轮胎MC胎压分类模型,S15、胎压过高,S16、胎压正常,S17、胎压过低。本申请极大的降低了胎压识别的硬件成本,且操作简单,对于驾驶员来说十分方便易用。
Tire pressure state detection method based on photographing vehicle recognition and deep learning
一种基于拍照识车与深度学习的胎压状态检测方法
2022-01-25
Patent
Electronic Resource
Chinese
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