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Rendobar provides automated face and license plate detection and redaction for privacy compliance. These features help you meet GDPR, CCPA, and other data protection requirements for video content.

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How it works

The compliance pipeline has two stages:
1

Detect

compliance.gdpr.detect — AI scans every frame for faces and license plates, returning timestamped bounding boxes.
2

Redact

compliance.gdpr.redact — Applies blur or solid fills to detected regions across the entire video, producing a clean output.
You can run detection alone (to review what will be redacted) or run redaction directly (which includes detection automatically).

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Detect faces and plates

curl -X POST https://api.rendobar.com/jobs \
  -H "Authorization: Bearer rb_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "compliance.gdpr.detect",
    "inputs": {
      "source": "https://example.com/street-footage.mp4"
    }
  }'

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Detection output

{
  "data": {
    "detections": [
      {
        "type": "face",
        "timestamp": 1.2,
        "bbox": { "x": 120, "y": 80, "width": 60, "height": 75 },
        "confidence": 0.94
      },
      {
        "type": "plate",
        "timestamp": 3.8,
        "bbox": { "x": 450, "y": 320, "width": 140, "height": 40 },
        "confidence": 0.87
      }
    ],
    "summary": {
      "totalFaces": 12,
      "totalPlates": 3,
      "framesAnalyzed": 450
    }
  }
}

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Redact detected regions

curl -X POST https://api.rendobar.com/jobs \
  -H "Authorization: Bearer rb_live_YOUR_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "type": "compliance.gdpr.redact",
    "inputs": {
      "source": "https://example.com/street-footage.mp4"
    },
    "params": {
      "targets": ["face", "plate"],
      "method": "blur"
    }
  }'

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Parameters

ParameterTypeDefaultDescription
targetsstring[]["face", "plate"]What to redact: face, plate, or both
methodstring"blur"Redaction style: blur (gaussian blur) or fill (solid black box)
blurStrengthnumber20Blur radius (only for method: "blur")

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Output

A new video with all detected faces and/or plates obscured. The original video is untouched.

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Use cases

  • Street-level imagery — dashcam, drone, or security footage with bystander faces
  • User-generated content — social media platforms moderating uploaded videos
  • Real estate — property walkthrough videos with neighbor faces/plates
  • Corporate — internal training videos shared externally
  • News media — protecting source identity or minor privacy

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Detection technology

Rendobar uses MediaPipe for face detection and OpenALPR for license plate recognition. Both run on the processing server — no data is sent to external AI services for detection.

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Cost

Job TypeCost
compliance.gdpr.detect$0.50/min of input
compliance.gdpr.redact$2.00/min of input
Redaction costs more because it includes both detection and video re-encoding.

Job Types

Content moderation and more

Credits

Billing details