inferenceFrequency property
Target inference frequency in frames per second.
This controls how often YOLO inference is actually performed on camera frames. Lower values reduce CPU/GPU usage and heat generation but may miss fast objects. Higher values provide smoother tracking but consume more resources.
Examples:
30
: High frequency - smooth tracking, high resource usage15
: Balanced - good tracking with moderate resource usage10
: Low frequency - basic detection, low resource usage5
: Very low - minimal detection, battery savingnull
: Maximum frequency (device-dependent, usually 30-60 FPS)
Implementation
final int? inferenceFrequency;