DoorBell-antir

Because Your Doorbell Wasn't Creepy Enough

My Reolink doorbell was working perfectly - recording everything to local SD storage. But all that data was just... sitting there, unanalyzed. This POC demonstrates what's possible when you add AI intelligence to existing camera infrastructure. While Ring users send data to Amazon's cloud and Nest feeds Google's systems, I built a local proof-of-concept that shows exactly what insights can be extracted from continuous video surveillance.

Started with ignored camera data. Built a system that demonstrates AI's ability to process continuous streams and find insights where humans would miss them - turning passive recording into active neighborhood intelligence. It's surveillance satire with a technical bite.

Explore the POC

SUBJECT UNDER SURVEILLANCE
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POC Architecture: What Your Camera Data Contains

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1. YOLO Detection

YOLO v8 processes live RTSP video feed with configurable confidence threshold. When a person is detected, the system captures high-resolution images with boundary box annotations. Demonstrates continuous AI monitoring of existing camera infrastructure.

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2. HOG Feature Matching

Histogram of Oriented Gradients (HOG) extracts distinctive features from detected persons for similarity matching. Uses computer vision to identify the same person across multiple frames, creating coherent visit sessions for timeline grouping and GIF generation.

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3. Vision Analysis

GPT-4.1 Vision API generates structured profiles from images including descriptive nicknames, physical characteristics, clothing, and behavioral context. Demonstrates how modern AI can extract meaningful data from unstructured visual content.

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4. Logs and Insights

System maintains comprehensive logs with visit tracking, pattern recognition, and timeline visualization. Demonstrates how AI can build persistent intelligence from continuous data streams while keeping all processing local for privacy.

POC Technical Architecture

Demonstrating What Local AI Analysis Can Extract From Existing Camera Data

RTSP STREAM INTEGRATION

Direct integration with existing camera infrastructure - no cloud required. Demonstrates what's possible with local data processing.

AI VISION ANALYSIS

GPT-4.1 processes captured images for comprehensive person analysis. Demonstrates how modern AI APIs can extract structured data from surveillance feeds.

YOLO v8 DETECTION

Real-time person detection with configurable confidence thresholds. Shows how computer vision can process continuous video streams.

PERSON PROFILING

AI generates nicknames, descriptions, and behavioral analysis for each detected person. Creates persistent profiles with visit tracking and pattern recognition.

LOCAL DATA PROCESSING

All analysis happens on your hardware - no cloud dependencies. Demonstrates privacy-preserving AI surveillance capabilities.

SCALABLE ARCHITECTURE

FastAPI backend with real-time processing pipeline. POC designed for easy deployment and customization.

Real-World Applications

What Your Doorbell Camera Data Could Tell You (If You Asked The Right Questions)

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Smart Parking Alerts

Monitor street parking patterns and get notified when spaces open up. Track parking authority schedules and meter enforcement patterns to optimize your parking strategy.

Never circle the block again. AI learns when your neighbors leave for work, when spots typically open, and when parking enforcement is most active.

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Delivery Intelligence

Track delivery patterns, postal service schedules, and package carrier behavior. Know when your packages typically arrive and identify potential delivery issues before they happen.

Reduce missed deliveries by 90%. System learns your carrier's typical timing and can predict delivery windows with high accuracy.

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Neighborhood Security

Identify unusual patterns, track repeat visitors, and monitor foot traffic anomalies. Build a comprehensive picture of your neighborhood's normal activity baseline.

Early detection of suspicious activity. AI recognizes when someone doesn't belong or when normal patterns are disrupted.

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Community Analytics

Understand pedestrian traffic flows, peak activity times, and seasonal patterns. Generate insights about your neighborhood's rhythm and social dynamics.

Make data-driven decisions about your home and neighborhood. Understand property value factors and community engagement levels.

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Emergency Response

Detect emergency vehicles, unusual crowd formations, or rapid changes in neighborhood activity. Provide early warning for potential safety concerns.

Be the first to know about neighborhood emergencies. AI can detect patterns that human observers might miss during critical situations.

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Property Intelligence

Track maintenance crews, service visits, and contractor schedules. Monitor property-related activity and identify optimal times for home improvements or maintenance.

Optimize your home's maintenance schedule. Know when neighbors do repairs, when services are available, and plan accordingly.

Your Right to Privacy in Public Spaces

While this project demonstrates AI surveillance capabilities, it's important to understand the legal framework surrounding privacy in public spaces and residential areas.

In most jurisdictions, there is no expectation of privacy in public spaces visible from public property. However, the use of AI for automated analysis and long-term tracking raises new legal and ethical questions.

The legal landscape around AI surveillance is rapidly evolving. Several cities and states are implementing restrictions on automated surveillance systems, facial recognition, and predictive policing technologies.

Legal Considerations

Public vs. Private: You can record what's visible from your property, but cannot point cameras at neighbors' private spaces like backyards or windows.

Data Retention: Consider implementing automatic deletion of old footage. Long-term storage of identifiable information may have legal implications.

Commercial Use: Using surveillance data for commercial purposes (like selling insights) may require additional legal considerations and permissions.

Disclosure: Some jurisdictions require disclosure of surveillance systems. Check local laws about signage and notification requirements.

AI Bias: Automated systems can exhibit bias. Consider the ethical implications of AI-powered surveillance and pattern recognition.

This information is for educational purposes only and does not constitute legal advice. Consult with a legal professional before implementing any surveillance system. Laws vary significantly by jurisdiction and are constantly evolving.