Abstract: The target template was designed and the BP neural network model was proposed,which can calculate the position deviation parameter between the two cameras according to the image coordinates of the feature points on the target template on the dual camera.GA algorithm is used to optimize BP neural network to compensate the shortco-mings.The training sample data set is used to train the proposed model,and the model is tested with the test sample data set,and finally the training model is used for the actual production of the two-camera module.The actual application results show that the calibration precision and time can meet the requirements of actual production based on the proposed method.

Key words: BP neural network, GA algorithm, Position, Two-camera module, Visual adjustment