This document describes a system for determining whether a pitch in baseball is a ball or a strike. The system uses camera data and filtering techniques like Kalman filtering to track the 3D path of the pitch and determine if it falls within the strike zone, accounting for errors. It has an intuitive user interface that guides the user through calibration if no previous data is loaded to improve accuracy of the strike zone detection.

1. Pitch(er) Perfect
An intuitive approach to understanding the Strike Zone
By Sean Ross
Danny Jan
Bowen Xu

2. System Overview

3. Calibration
● Step-by-step
for error checking
● Intuitive displays

4. Dynamic Calibration

5. Filtering Noisy Camera Data
● Triangulation
error
● Kalman Filter

6. Is it a ball or a strike?
● Filters based on
known physics
● Determines
strike or ball
with 3D path

7. User Interface
● Need to load previous
data or initialize new
data.
● Prompts the user to go
through calibration if no
data is loaded