AWS machine learning supports Scuderia Ferrari HP pit stop analysis
Machine Learning Blog
AWS is helping Scuderia Ferrari HP optimize pit stop performance using machine learning and cloud technologies, transforming a traditionally manual analysis process.
- Previously, engineers manually reviewed 600 videos per season to analyze pit stops
- New solution uses Amazon SageMaker and object detection to synchronize video and telemetry data
- ML model trained on 2023 racing season videos using YOLO v8 algorithm
- Automated process reduces pit stop data analysis from minutes to 60-90 seconds
- Results include fastest pit stops in first five races of 2025 season
The solution enables faster, more accurate pit stop performance analysis, helping Scuderia Ferrari HP improve race strategy and operational efficiency.
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