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MLOps // ARCHITECTURE_DEEP_DIVE
SentinelVision
MLOps Surveillance Platform
Executive Summary
Real-time intelligent surveillance ecosystem utilizing computer vision, automated retraining workflows, and production-grade MLOps pipelines.
Problem Statement
Vision models degrade over time due to environmental changes.
Solution
Create self-improving surveillance infrastructure with automated retraining and monitoring.
Key Features
- Model Monitoring
- Drift Detection
- Version Tracking
- Automated Retraining
- Continuous Deployment
Production Impact
"Achieved production-grade inference latency (<50ms) on edge devices."