The quality problem of prefabricated laminated slab (PLS) is one of the important factors that lead to the failure of prefabricated components in construction.A method of intelligent detection of PLS based on machine vision is presented in this paper. First, the image is collected through the camera system on the production line of PLS, and then the image is preprocessed through noise removal. The Canny algorithm is used to extract the edge features, and Harris corner detection algorithm is used to extract the internal features of the image.The extracted information is compared with the stored information.This method is used to identify and analyze the features of three PLS. The results prove that intelligent detection method can be used for image acquisition and image preprocessing of PLS, and the characteristics of the statistics, the size of PLS, the number, size and location information of reserved holes and embedded parts.Intelligent detection method can quickly detect and judge whether the PLS is qualified. It can improve the pass rate of factory components and reduce the return rate of components, and hence reduce the construction cost and the risk of project delay.