TruPath Labs Research published findings on a real-time computer vision system for bounded-court projectile scoring, highlighting that data quality significantly impacts model performance more than dataset size, along with commercial licensing constraints and sensor-level encoding parameters being critical production considerations. The system, built on an RT-DETRv2-S transformer backbone and deployed on Apple Silicon, achieved 99.3% mAP50 on a custom 3-class domain.
The immediate takeaway is that this bounded-court CV stack is already accurate enough for live scoring, but it is still 7ms short of the sub-35ms gate. The broader lesson is operational: TruPath shows that licensing, sensor encoding, and annotation quality can matter more than raw model choice, which is why RT-DETRv2-S stayed in the production set while AGPL-3.0 model families did not. The key number to watch next is whether float16 CoreML quantization or removal of the remaining ONNX serialization boundary can close the gap from 42ms to under 35ms.
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