My phone replaced a brass plug

7 hours ago

The author set out to cook venison from scratch, which led to learning to shoot and eventually automating the scoring process for shooting targets.
Traditional scoring involved manual use of brass plugs to measure bullet holes on target cards, a process the author found tedious and error-prone.
Using iOS Vision framework and OpenCV, the author attempted computer vision techniques based on a 2012 paper but faced challenges with accuracy.
Integrating machine learning with YOLOv8 improved bullet hole detection, merging geometric analysis from OpenCV with ML for better precision.
The final solution was packaged into an offline-first app, providing automated scoring and performance feedback for shooting practice.
Despite technological advancements, traditional scoring gauges remain valued for settling disputes, highlighting the enduring role of simple tools.

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