A fast blind restoration method of QR code images was proposed based on a blurred imaging mechanism. On the basis of the research on the centroid invariance of the blurred imaging diffuse light spots， the circular finder pattern is designed. When the image is blurred， the centroid of the pattern and the position of the QR code symbol can be quickly detected by methods such as connected components. Moreover， combined with step edge characteristics， gradient and intensity characteristics， edge detection technology， and optical imaging mechanism， the defocus radius of the blurred QR code image can be quickly and accurately estimated. Furthermore， the Wiener filter is applied to restore the QR code image quickly and effectively. Compared with the other algorithms， the proposed method has improved deblurring results in both structural similarity and peak signal-to-noise ratio， especially in the recovery speed. The average recovery time is 0.329 2 s. Experimental results show that this method can estimate the defocus radius with high accuracy and can quickly realize the blind restoration of QR code images. It has the advantages of rapidity and robustness， which are convenient for embedded hardware implementation and suitable for barcode identification-related industrial Internet of Things application scenarios.