Virtual Strike Zone Umpiring with Multi-Camera Ball Tracking
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Solution Overview
Problem
Human officiating in sports like baseball and softball is prone to errors due to inherent biases and inconsistencies, which are exacerbated by instant replay and social media scrutiny, necessitating a more accurate and unbiased automated umpiring system.
Innovation Solution
A camera system with processors analyzes video streams from multiple cameras focused on a common focal point to create a virtual strike zone, determining the path of the ball and batter characteristics to automatically call strikes or balls in real-time, interfacing directly with officials to streamline the umpiring process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human officials manually umpire the game, then the system is simple and low-cost, but accuracy and consistency deteriorate due to human error and bias
Solution Approach 1:
The patent replaces the mechanical human decision-making system with an automated video analysis system using computer vision and machine learning algorithms. The system captures video feeds from multiple cameras, processes them through AI models to detect ball position and strike zone boundaries, and automatically generates umpiring decisions, thereby eliminating human error and bias while maintaining objective accuracy.
Solution Approach 2:
The patent introduces an intermediary automated processing system between the physical game events and the final umpiring decision. This intermediary layer includes video capture devices, image processing algorithms, and decision logic that objectively analyze game situations and generate calls, serving as a neutral mediator that removes subjective human factors from the umpiring process.
2Measurement precision
If multiple cameras are used to improve accuracy, then measurement precision improves, but system cost and complexity increase
Solution Approach 1:
The patent segments the umpiring function into multiple independent camera units, each capturing specific views of the plate area. By dividing the monitoring task across multiple cameras positioned at different locations (e.g., center field, first base side, third base side), the system achieves comprehensive coverage and improved measurement precision while allowing each camera to be a standard, relatively simple device rather than requiring one complex multi-functional camera.
Solution Approach 2:
The patent designs the camera system with universal functionality where multiple cameras serve both as primary detection devices and as backup/redundant sources. The same camera infrastructure supports various game situations (strikes, balls, swings, missed swings) and can be reused across different games and seasons, reducing overall system complexity through standardized multi-purpose equipment.
Data Source
AI summary
A system for creating an artificial strike zone is disclosed. One or more cameras, such as a first camera and a second camera, are installed on a sports field, wherein the first camera is installed at a first location, and the second camera, when installed, is installed at a second location. Each camera is directed at a common focal point. Each camera captures an individual video stream. Processors detect a batter near the common focal point in at least one of the video streams and construct a virtual strike zone above the common focal point and in front of the batter based on each of the individual video streams, one or more stance characteristics of the batter, and one or more physical characteristics of the batter. A width of the strike zone is drawn based on and in relation to the width of the common focal point.