Panel module is one of the key factors that affect the touch and optical performance of the vehicle touch screen. Traditional manual inspection is unsuitable to modern industrial production with high product quality and high production efficiency. Aiming at the problem of large fluctuations of transmittance and large inspected area for the vehicle touch screen, a panel module machine vision inspection system with high inspection accuracy was developed. According to characteristics of the inspected glass object of vehicle touch screen, an image acquisition system and image processing scheme with online scanning has been designed for vehicle touch screen. By comparing the standard grayscale model, establishing the conversion relationship between grayscale value and transmittance, as well as support vector machine classification, various defects of the glass module were dynamic identified with only one CCD, and its transmittance at anywhere were acquired meanwhile. The on-site application results showed that the efficiency of this inspection system was up to 120pcs/h. The inspection accuracy of glass module inspection system was 0.01mm, and its ratio of flaw inspection was higher than 95%.