Risk, labels, and scores

Scores

The scores object contains the raw output probabilities from the classification model. Each score is a floating-point value between 0.0 and 1.0, representing the model’s confidence that a given concept is present in the analyzed video segment.

"scores": {
  "intrusion": 0.919,
  "person": 0.127,
  "vehicule": 0.893,
  "animal": 0.062,
  "flag": 0.830,
  "plant": 0.049,
  "rain": 0.005,
  "wind": 0.007,
  "text": 0.001,
  "other": 0.020,
  "NOTHING": 0.0003
}

Risk levels

The system exposes three and only three risk levels:

safe
danger
intrusion

These are directly derived from the intrusion score using two configurable thresholds.

Thresholds

Threshold	Description
Low threshold	Boundary between `safe` and `danger`
High threshold	Boundary between `danger` and `intrusion`

Typical configuration:

low_threshold  = 0.2
high_threshold = 0.8

See Configuration to customize thresholds.

Risk derivation

Intrusion score	Risk level	Meaning
`< low_threshold`	safe	No action required
`>= low_threshold` and `< high_threshold`	danger	Requires operator validation
`>= high_threshold`	intrusion	Confirmed intrusion

if intrusion >= highThreshold {
    risk = "intrusion"
} else if intrusion >= lowThreshold {
    risk = "danger"
} else {
    risk = "safe"
}

Operational semantics

Safe — Normal background activity. May be automatically filtered out.
Danger — Ambiguous or suspicious activity. Must be reviewed by an operator. Never automatically discarded.
Intrusion — High-confidence intrusion detected. Must be reviewed and escalated. Never automatically discarded.