Alibi AI face anonymization interface displaying video frame-by-frame analysis with CNN-detected faces highlighted by confidence score boxes, automatic blur overlay preview, and batch processing queue showing GDPR-compliant privacy protection
AI & Computer Vision

Alibi

AI Face Anonymization

-80%
False Positives
Batch
Processing
CNN
AI Technology
GDPR
Compliant

Overview

A tool to automatically blur faces in videos and photos, developed for those who need to publish content while respecting privacy (GDPR). The problem? Manual blurring is incredibly slow - in a 10-minute video with dozens of people it takes hours, and you always risk missing someone.

I built a system that uses AI (computer vision neural networks) to detect faces and automatically apply blur. Works on videos and photos. The interesting part is validation: not every face-shaped thing is a face - could be a poster, reflection, or mannequin. I implemented a scoring system that reduces false positives by ~80%.

Typical use case: you filmed an interview with anonymous witness. The system detects all faces in the video and blurs them in a few minutes. Or a shop has theft footage to give to police - system blurs customers and employees, leaves only the thief identifiable.

Relevant for journalism (anonymous sources), public surveillance (GDPR requires blurring faces), research with sensitive data.

Key Features

  • AI face detection based on computer vision neural networks (CNN)
  • Works on videos and photos, processes files in batch
  • Intelligent validation reducing false positives ~80% with confidence scoring
  • Real-time face tracking throughout video with frame-by-frame blur

Technologies Used

CNNComputer VisionBatch ProcessingGDPR