Fig 2: System in action with athlete ECE 492 - Computer Engineering Design Project Curling Coach Nicole Stodola, Gerry Finlay, and Chris Pederson 2013 Project Motivation 40+ years of curling experience between Nicole and Chris Wanted to improve the current delivery verification method Level shoulders is very important to the curling delivery Project Overview Video processing of a curling delivery Provide a method of instant notification of misaligned shoulders Ability to add in more target body parts for tracking Video display with markings showing target positions and feedback Project Design Nikon Coolpix P5000 digital camera captures the video of the curler Image is displayed onto the VGA monitor with red boxes marking the targets Image processing module detects if there is a vertical deviation in the shoulder targets If the deviation is above the 5 pixel threshold an alarm is triggered The system alarm, a short audio clip, is played and green LEDs are turned on Components Altera DE2 FPGA board Digital camera with NTSC video capability VGA Monitor Speakers Testing VHDL Testing Test each module separately Camera Audio Image Processing Test benches for all VHDL System Testing Testing in the lab Testing in a curling rink Edge case considerations: Different slides Obscure targets Group 15 would like to thank Dr. Duncan Elliott, Nancy Minderman, Michael Shoniker and Jessica Cao. For colour ideas, University Visual Identity Guidelines can be found here: http://www.toolkit.ualberta.ca/VisualIdentityGuidelines.aspx Fig 2: System in action with athlete Image Processing Video frame is split into two sections for target detection In each section the system scans from the top left for the greenest pixels Once the pixels are detected it draws a red box on the video as shown in Figure 2 The system tracks X and Y coordinates of the targets with red boxes and monitors the Y value for a predefined deviation in vertical position Once a deviation in the targets has been detected, trigger the alarm condition Fig 1: Athlete sliding out Department of Electrical & Computer Engineering