Smart Hockey Goal

Sammanfattning: Context: ​Nowadays, the ice hockey is one of the main sports in Sweden and year by year the number of people that practice it is raising. For practicing the accuracy of the shot there are not a lot of devices in the market and the ones that already exist use high definition cameras and complex sensors which makes them very expensive to the amateur practice of the sport. Objectives: The main aim of this project is to build a prototype of a hockey goal able to detect and measure the speed of the hockey puck when it goes into the goal. In this paper, we present a solution for detecting and measuring phase using different sensors and a Kinect camera. For the position there have been used laser emitters with photoresistors and ultrasonic sensors, and for the speed detection there have been used a doppler sensor, HB100 and the Microsoft Kinect camera. The goal is to show that there are cheaper solutions than the ones used in the professional world. Method: Using a Arduino board we will divide the project into two phases, the detection phase and the speed measure phase. In the first phase we will detect the puck using two methods and at the end we will compare them to know which one is more appropriate to apply in order to have as much accuracy as possible. The first method will be using photoresistors and lasers so when the Arduino board detects a huge variation of the photoresistor it will mean that the puck has crossed the goal line and a LED will turn on. The second method will be using ultrasound sensors which detect the distance to and object. We will put the sensors on the top of the goal and the will measure the distance to the floor, if this distance changes it means that the distance calculated is the one to the puck and not the floor so a LED will be turned on. In the second phase we will calculate the speed of the puck using two methods and we will compare the results. The first method will be using the HB100 sensor which will be fixed on the top of the goal. The sensor will print on the screen the speed values of the puck when it goes into the goal. The second method will use a Kinect camera to detect the puck and calculate the speed detecting it in two different places and knowing the difference of time between them. Results: ​We will do some test for each phase and method and finally we will calculate the accuracy of the method, compare the results and decide which is the best method for achieving the objectives.