The camera interior parameters calibration is a necessary part of machine vision measurement. The existing calibration methods, include Tsai two-step method, DLT method as well as method of Zhang Zheng-you based on planar target are frequently used. Among them, Zhang method is widely used due to its high implementability, however, its calibration precision depends on the precisions of manufacturing target plane, image feature point extraction, lens distortion, and the number and distribution of target pose. Aiming at the problems, based on the analyze of the impact of each factor on the calibration precision by the Zhang calibration method. A camera calibration method, which was uniform design idea applied in position and orientation distribution of target was proposed. The result of simulation and actual measurement shows that the proposed calibration method significantly improve the accuracy of the camera interior parameters.