Portable Golf Launch Monitor
Date: December 2025
Project Overview: As part of my engineering capstone project, I was part of a six-member team that designed and developed a portable golf launch monitor over an eight-month development cycle, covering system design, prototyping, testing, and refinement.
The goal was to deliver an affordable, data-driven coaching solution for novice to intermediate golfers. The system uses a high-speed vision pipeline and embedded processing to capture ball and club motion, with key performance metrics delivered through a mobile application.
A major focus of the project was accessibility and usability, converting complex motion data into clear, actionable feedback that helps users understand and improve their swing without the cost or complexity of professional-grade launch monitors.
Main Hardware Used:
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Raspberry Pi 5
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Global-shutter high-speed camera
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High-brightness status LEDs
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Rechargeable battery system
Main Features:
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Real-time ball and club tracking (YOLOv8)
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Swing metrics extraction (face angle, swing path, attack angle, side angle)
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Fiducial marker-based club tracking
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BLE GATT communication
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Cross-platform mobile app (iOS & Android)
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TensorFlow Lite inference on Raspberry Pi 5
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Modular system architecture
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Rule-based coaching feedback engine
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Status LED system indicators
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Battery monitoring and power management