This invention describes a system where a computer connected to a camera watches a human expert adjust the camera's settings or the image analysis software. The computer learns from these adjustments how to improve the performance of a process being monitored. Once it has learned, the system can then either automatically make these adjustments itself or provide recommendations to the human expert.
Why it matters: Since 2022, the performance and accessibility of machine learning models for real-time adaptive control have significantly improved. This makes the system's ability to learn from human adjustments and automate complex camera tuning more robust and efficient.
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