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README.md
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license: apache-2.0
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short_description: 'Safe Privacy: Face blurring Image & Video'
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license: apache-2.0
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short_description: 'Safe Privacy: Face blurring Image & Video'
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---
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๐ Ansim Blur: Privacy-First Face Blurring for the AI Era
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๐จ The Privacy Crisis is Now
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Smart CCTVs ๐น, delivery robots ๐ค, and autonomous vehicles ๐ are everywhere. Your face is being captured, transmitted, and stored without your knowledge or consent.
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openfree/Face-blurring
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The privacy threat is real:
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24/7 surveillance cameras recording your every move
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Companies harvesting facial biometric data at scale
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Your face becoming a commodity without your permission
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๐ก The Solution: Ansim Blur
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Real-time face anonymization powered by YOLOv8 ๐ฏ
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โ
Process images, videos, and live streams
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Automatic GPU/CPU detection for universal deployment
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Choose between Gaussian blur or mosaic pixelation
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Fine-tune detection sensitivity for your needs
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Preserve audio tracks in video processing
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๐ก๏ธ Real-World Applications
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Enterprise Use Cases
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Privacy compliance for robotics and drone footage
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CCTV feed anonymization for regulatory requirements
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Customer data protection in retail analytics
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Personal Protection
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Anonymize bystanders before sharing content online
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Protect family members' privacy in shared videos
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Avoid portrait rights issues in content creation
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๐ Technical Specifications
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Model: YOLOv8-face (optimized variant)
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Performance: 30fps real-time processing on RTX 3060
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Accuracy: 95%+ face detection rate
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Formats: JPG, PNG, MP4, AVI, MOV
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๐ Why This Matters
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"Face blurring will become mandatory for all public-facing cameras"
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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.
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๐ค Join the Movement
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Why open source?
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Because privacy isn't a premium featureโit's a fundamental right.
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As technology advances, so must our commitment to privacy protection ๐ก๏ธ
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