Batting Simulator Using Multi-Camera 3D Tracking
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Solution Overview
Problem
Conventional batting simulators in baseball facilities lack a mechanism to quantitatively measure the outcome of batted balls, such as whether a hit is a line drive double or fly ball, which hinders coaches' ability to assess player progress and improve hitting techniques.
Innovation Solution
A batting simulator system that measures exit velocity and trajectory of batted balls, combines this data with system performance metrics like virtual fielder and environmental factors to provide real-time outcomes, and stores results for analysis, using cameras and a computerized device to generate virtual ball hit outcomes and display them in a virtual stadium.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional batting simulators use optical sensors to detect batted ball trajectory, then measurement capability is provided, but the system cannot quantitatively measure the end result of the batted ball (e.g., whether a line drive was a double in the gap or fly ball to left fielder)
Solution Approach 1:
The patent transitions from two-dimensional optical sensor detection to three-dimensional spatial tracking using multiple cameras positioned at different locations. This dimensional expansion enables comprehensive capture of ball trajectory, speed, and ultimate landing position, providing complete measurement of hit outcomes including whether balls result in singles, doubles, triples, or home runs.
Solution Approach 2:
The system integrates multiple functions into a single comprehensive batting simulator: trajectory detection, speed measurement, outcome classification, and performance metric calculation. The multi-camera setup and computerized device work together to provide universal measurement capabilities that cover all aspects of batted ball analysis, from initial contact to final resting position.
2Reliability
If conventional batting simulators are configured with large detection planes and multiple optical sensors, then trajectory detection is enabled, but the system lacks mechanism to provide real-time outcome data and performance metrics
Solution Approach 1:
The patent replaces complex mechanical optical sensor systems with a streamlined multi-camera imaging system coupled with computerized processing. This substitution maintains reliable trajectory detection while dramatically improving productivity through automated real-time calculation of ball outcomes and performance metrics, eliminating the need for manual charting and providing instant feedback.
Solution Approach 2:
The system performs self-analysis by automatically processing camera data to determine ball outcomes, calculate performance metrics, and generate feedback reports. The computerized device independently completes the entire analysis chain from raw imaging data to interpreted performance information, enabling real-time self-evaluation without external intervention.
3Ease of operation
If manual charting methods are used to track batting performance, then coaching observation is possible, but quantitative measurement of hit outcomes and player progress assessment is hindered
Solution Approach 1:
The patent introduces an intermediary computerized system that bridges the gap between simple observation and precise measurement. The system acts as a mediator between the coach's observational needs and the requirement for quantitative data, automatically capturing, processing, and presenting both visual and numerical performance information in real-time.
4Adaptability or versatility
If conventional facilities use batting cages with screens in close proximity, then year-round practice is enabled, but players cannot receive feedback on the actual outcome of their hits
Solution Approach 1:
The patent implements a comprehensive feedback system that provides players with immediate information about their hit outcomes. The computerized device analyzes ball trajectory and distance data to determine whether each hit would have been a single, double, triple, or home run in a real game setting, delivering this feedback in real-time to enhance player understanding and improvement during indoor practice sessions.
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 coaches and players to optimize swing mechanics by providing real-time data on batting averages, exit velocities, and hit outcomes, allowing for improved performance tracking and training.
Implementation Method 1
a detector configured to capture a set of images of the ball and generate a set of measurements associated with the captured image and related to motion of the ball
Data Source
AI summary
In response to detecting a user hitting a pitched ball, a batting simulator system is configured to provide data such as batting average, slugging percentage, and exit ball velocity and distance in real-time. Furthermore, the batting simulator system can both display a trajectory of the hit ball in a virtual stadium and provide the results of the ball hit (e.g., groundout, double, home run, etc.) in real-time. The batting simulator system can store and later output these results to the player to allow the player or a coach to identify hitting tendencies and optimize swing mechanics over the course of one hitting session or over an entire season.