In recent years, with the continuous improvement of industrial robot technology, the application of combining camera and laser rangefinder for measurement is increasing. To facilitate the coordination between the binocular camera and the single point laser rangefinder, calibration between them is essential. This article proposes a calibration method of binocular camera and single point laser rangefinder. The light spot of the single point laser rangefinder is hit on the calibration board, and the light spot is formed on the calibration board. The pixel point at the center of the light spot is extracted by the gray center of the gravity method, and the threedimensional coordinate value of the light spot is extracted by using the internal parameter matrix and depth data of the binocular camera. Then, two three-dimensional coordinate points are used to establish formulas to obtain the rough solution of the external parameter parameters. Meanwhile, the constraint equations are established through the three-dimensional coordinates of multiple light spots in the camera coordinate system, and optimization algorithms are used to optimize the constraint equations to obtain accurate external parameter values. This method is simple and has no special requirements for calibrating devices. The external parameters obtained through this method have high accuracy and good robustness. The actual measurement shows that the average relative error of the external parameter parameters obtained through this algorithm after re-projection is less than 0. 30% , which can be applied in actual production process.