Baseball Strike Zone Mapping Using Batter Biometrics
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Solution Overview
Problem
Existing systems for determining strikes and balls in baseball games struggle to accurately account for the varying strike zones of individual batters due to differences in height and stance, leading to inconsistent and inaccurate calls.
Innovation Solution
A method and system that calibrate a camera's coordinate system to the baseball field, capture biometric characteristics of the batter, and map these characteristics to the strike zone limits, allowing for precise tracking of the pitched ball's trajectory within the strike zone.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If automated strike zone determination systems are implemented, then measurement precision and consistency are improved, but device complexity increases
Solution Approach 1:
The system employs a single camera positioned in center field that performs multiple functions: tracking the baseball trajectory, capturing batter images for biometric analysis, and providing spatial calibration data. This multi-functional approach achieves precise strike zone determination without requiring multiple specialized sensors or complex coordinate transformation systems between different measurement locations.
Solution Approach 2:
The system creates a digital model of the strike zone by mapping biometric characteristics from captured batter images into three-dimensional spatial coordinates. This digital representation allows automated comparison with the actual ball trajectory, providing precise strike/ball determination without requiring physical measurement devices at home plate.
2Adaptability or versatility
If biometric characteristics are used to define individual strike zones, then adaptability to individual batters is improved, but measurement and processing difficulty increases
Solution Approach 1:
The system replaces manual biometric measurement and strike zone calculation with automated image processing algorithms. The camera captures batter images, and software automatically extracts biometric characteristics (height, shoulder width, knee position) and maps them to three-dimensional strike zone coordinates, eliminating the need for manual measurement devices or complex physical assessment procedures.
Solution Approach 2:
The system performs biometric analysis and strike zone definition in advance, before the pitch is delivered. By capturing batter images and computing individualized strike zone parameters during the at-bat setup phase, the system prepares the personalized strike zone boundaries beforehand, allowing rapid automated determination during the actual pitch without real-time measurement delays.
3Object-affected harmful factors
If center field camera positioning is used, then obstruction from players is reduced, but distance for accurate batter imaging increases
Solution Approach 1:
The system transitions from two-dimensional image analysis to three-dimensional spatial reconstruction. By using the known three-dimensional coordinates of the center field camera position and applying perspective projection geometry, the system accurately maps two-dimensional image features (batter height, shoulder width, knee position) into three-dimensional strike zone boundaries, compensating for the increased imaging distance.
Solution Approach 2:
The system adjusts processing parameters based on the specific camera position and distance. By calibrating the image processing algorithms with the known camera coordinates and adjusting the field-of-view and scaling factors accordingly, the system maintains accurate biometric measurement capability despite the increased distance from the batter compared to positions closer to home plate.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and consistent strike/ball calls by individualizing the strike zone for each batter based on their biometric characteristics, enhancing the precision of umpiring decisions.
Implementation Method 1
Radar waves transmitted from the radar and reflected by the baseball in flight generate an observable Doppler shift when received by the radar. This shift is proportional to the radial velocity of the baseball in relation to the radar.
Implementation Method 2
The ball's position in an image plane may be detected when the ball is in the field of view of the camera.
Data Source
AI summary
A system and a method related for evaluation of sport ball data. The method includes calibrating a first coordinate system of a first camera to a second coordinate system of a baseball field; capturing, with the first camera, one or more images including a first batter; determining biometric characteristics of the first batter based on the one or more images and the calibration of the first camera to the baseball field; mapping the biometric characteristics of the first batter to an upper positional limit and a lower positional limit of a first strike zone for the first batter; and determining positional limits of the first strike zone in the second coordinate system.