The application of an improved quantum particle swarm optimization algorithm（QPSO）in camera calibration was studied to overcome the drawbacks of traditional optimization algorithms in camera calibration, such as sensitive to original value, poor astringency, and easy to relapse into local optimization. A camera calibration method based on intelligent optimization algorithm was put forward and the calculation procedures were given. Calibration experiments results showed that the method can overcome the drawbacks of traditional optimization algorithms, has higher precision, and meet the application requirements of computer vision in packaging engineering.