README.md

metadata

title: Ansim Blur
emoji: 👩
colorFrom: red
colorTo: gray
sdk: streamlit
sdk_version: 1.48.1
app_file: app.py
pinned: false
license: apache-2.0
short_description: 'Safe Privacy: Face blurring Image & Video'

🔒 Ansim Blur: Privacy-First Face Blurring for the AI Era

🚨 The Privacy Crisis is Now Smart CCTVs 📹, delivery robots 🤖, and autonomous vehicles 🚗 are everywhere. Your face is being captured, transmitted, and stored without your knowledge or consent.

openfree/Face-blurring

The privacy threat is real: 24/7 surveillance cameras recording your every move Companies harvesting facial biometric data at scale Your face becoming a commodity without your permission

💡 The Solution: Ansim Blur Real-time face anonymization powered by YOLOv8 🎯 ✅ Process images, videos, and live streams ✅ Automatic GPU/CPU detection for universal deployment ✅ Choose between Gaussian blur or mosaic pixelation ✅ Fine-tune detection sensitivity for your needs ✅ Preserve audio tracks in video processing 🛡️ Real-World Applications Enterprise Use Cases

Privacy compliance for robotics and drone footage CCTV feed anonymization for regulatory requirements Customer data protection in retail analytics

Personal Protection

Anonymize bystanders before sharing content online Protect family members' privacy in shared videos Avoid portrait rights issues in content creation

📊 Technical Specifications

Model: YOLOv8-face (optimized variant) Performance: 30fps real-time processing on RTX 3060 Accuracy: 95%+ face detection rate Formats: JPG, PNG, MP4, AVI, MOV

🌍 Why This Matters "Face blurring will become mandatory for all public-facing cameras" With GDPR in Europe, CCPA in California, and similar regulations worldwide, biometric data protection is becoming non-negotiable. Soon, every camera-equipped system will require built-in face anonymization capabilities. 🤝 Join the Movement Why open source? Because privacy isn't a premium feature—it's a fundamental right.

As technology advances, so must our commitment to privacy protection 🛡️