This project developed and tested a proof-of-concept smartphone-based system for classification of balls and strikes in the game of baseball. Current professional systems used to call balls and strikes are expensive and require professional installation. This opens a gap for an inexpensive and accurate solution to calling balls and strikes. An automated system was developed that consisted of six main steps: data collection, data pre-processing, image classification, object detection, parametric estimation, and pitch classification. The system successfully outputs a pitch classification utilizing an input from a smartphone camera.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Panicci, Michael Alexander
• Palermo, Dominic William
• MacLeod, Theodore Bradford

Publisher

• Worcester Polytechnic Institute

Identifier

• E-project-042519-133951

Advisor

• Brown, Donald R.

Year

• 2019

Date created

• 2019-04-25

Resource type

• Major Qualifying Project

Major

• Electrical & Computer Engineering

Rights statement

• In Copyright