March 2026
5 min read
Applying AI Patterns to Home Security
AI-enabled monitoring can quickly become noisy if detection pipelines are not carefully structured. This work focused on reducing false positives and presenting useful, prioritized alerts.
Tools Used
- Python
- Computer Vision
- Automation
- Docker
Lessons Learned
- Reliability and precision are more important than broad detection coverage in early deployments.
- Users trust alerts when systems explain why events were flagged.
- Modular pipelines make it easier to improve components without rebuilding the full system.