Video

Anomaly Detection

Identify unusual patterns and anomalies in video

495K runs

Note: This playground provides simulated output to showcase functionality. No input data is processed or stored on our servers. Use this demo to explore the feature extractor's capabilities before integrating it into your application.

Input

File URL string

Enter a URL to a video file

Upload video

Drag and drop a video file here, or click to browse

Select File

# model string

The anomaly detection model to use. Default: anomaly-detector-v2

# min_confidence number

Minimum confidence threshold for anomaly detection. Default: 0.7

# anomaly_types array

Specific anomaly types to detect. Default:

# include_patterns boolean

Whether to include normal patterns. Default: true

Output

{
  "anomalies": [
    {
      "time": 45.8,
      "duration": 3.5,
      "type": "unusual_movement",
      "severity": "medium",
      "confidence": 0.86,
      "bbox": [
        230,
        150,
        340,
        380
      ]
    }
  ],
  "normal_patterns": [
    "walking",
    "standing",
    "conversing"
  ],
  "alert_level": "low",
  "analysis_method": "unsupervised_learning"
}