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In view of the development trend of intelligent industrial technology, and the requirements of light alloy wheel hub machining process for the accuracy of clamping position, this paper studies an effective accurate determination method of wheel hub clamping position, in order to solve the problems of current detection methods, such as easy to be affected by human factors, low efficiency, poor stability and so on. This paper proposes a non-contact accurate measurement method of wheel hub mounting position based on machine vision technology. A vision detection system is built by using CCD industrial camera. Two main features of wheel hub valve hole and center hole are extracted by using the accurate measurement method of double feature position. The accuracy error of wheel hub position is determined by analyzing and calculating the double feature data, According to the calculated data, the position error of the card is output, and the feedback compensation is carried out by means of subsection displacement and gradual positioning. The experimental results show that the angle standard deviation is 0.0226 ° and the measurement uncertainty is 0.0036 ° in the measurement parameters of the system, the measurement accuracy is ideal, the average detection time is 0.29s, and the detection timeliness is good, which can meet the performance requirements of wheel hub automatic machining position detection.