The goal of the thesis is to improve upon the results of an earlier project in which students were trying to determine the jumping height of different sized styrofoam balls from different depths bellow water. The balls must jump out of the water vertically for the maximal height detection to work as precise as possible. In the first experiment, turbulence caused the balls to jump out of the water sideways and there were few good measurements. To fix the turbulence problem, a styrofoam cone was glued to the ball which was beforehand precisely cut. The created object resembles the shape of a tear drop which is very aerodynamic and should reduce the amount of created turbulence, and with that, reduce the trajectory errors. The top of the object (the ball) is colored red so it will be detectable in Matlab. The object is being released from a submerged concrete block above whom a Go- Pro Hero3 camera was placed. For each of the 2 objects, on each of the 3 release depths, 15 recordings of the jump are filmed. For the larger object, red pixels are detected and summed in order to get the red pixel area of each frame. Than we use the pixel area to calculate the ball radius in pixels. For the smaller ball, we use a built-in Matlab function for circle approximation on the frames with detected pixels. Once the circle radius of each frame is calculated, the focal distance of the camera is calculated and later used along the known object dimensions to calculate the distance between the object and the camera in centimeters. Last thing that must be done in Matlab is aligning and plotting all of the height curves on one figure. The results are much better compared to the first experiment, however on deeper release depths the jump trajectory tilts away from the vertical path and the object jumps to the side. This could be fixed by adding wings which will help to keep the object on the vertical trajectory.