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Tuning Accuracy and Performance

Tuning Accuracy and Performance

Analyses share the controller's computing resources. Three settings determine how those resources are allocated.

SettingGuidance
ModeFast is recommended for a Raspberry Pi, Accurate for a PC or Jetson. Available values depend on the analysis: Object Detection, Face Recognition, and Fire Detection offer Fast, Balanced, and Accurate; License Plate and Custom Anomaly offer Fast and Accurate; QR/Barcode, OCR, and Custom Classification use a single model and show no Mode field. Fire Detection displays all three values but runs a single model, so the result is identical regardless of the selection.
Detection FPSHow many times per second the AI analyzes. The default is 5, and 1 for the computation-heavy anomaly detection. Display between analyses is interpolated, so low values do not look choppy.
GPU AccelerationAvailable for Object Detection, Face Recognition, and OCR. On integrated or older GPUs it can be slower than the CPU, so verify performance before leaving it on.

Confidence and thresholds balance misses against false positives. Raise them when the rule reacts to absent targets; lower them when present targets are missed.

Note When overall performance is insufficient, lowering Detection FPS is more effective than lowering Mode. Running an accurate model five times per second generally yields better results than running a fast model thirty times per second, at lower cost.
Detection zones: counting only part of the frame

Object conditions cover the whole frame by default. In the condition panel, draw a Detection Zone as a rectangle or polygon, and only detections inside it are counted.

A detected object is a box, so "inside" needs a definition. That is the Zone Trigger Point.

CriterionUse case
Bottom Center (Ground Point)People and vehicles on the ground. Draw the zone on the floor. This is the default and fits most cases.
Box CenterCeiling cameras, or targets that do not touch the ground.
Overlap RatioCounting entry once the box overlaps the zone by a set percentage.

With Overlap Ratio at 100 percent, the entire box must be inside the zone. Very low values of 1 to 5 percent fire on an outstretched arm or a distant object partially overlapping the zone, which is rarely the intended behavior.