
Back2Life API — Visual Fatigue Analysis
Copyright certifiedProblem
Hardware–software complexes for measuring human visual fatigue need a reliable way to ingest biodata, process it, and deliver fatigue metrics for occupational health and display-usage monitoring.
Solution
Healthcare API that analyzes user biodata from sensors, computes visual fatigue indicators, and integrates with measurement hardware. Qualified electronic timestamp establishes anteriority.
Architecture
Modular API layer with dedicated ingestion, computation, and output services. Clear separation between measurement hardware interface and fatigue-computation logic for testability.
Data flows
Serial/camera → raw biodata ingestion → validation → fatigue computation pipeline → metrics output. Secure storage for audit trail and anteriority proof.
Scalability
Stateless compute design. Database-backed for multi-session, multi-device deployment. Ready for batch processing if needed.
Performance
Optimized numpy pipelines for real-time fatigue metrics. Minimal latency from sensor read to computed output.
Tech stack
Flask, numpy, MySQL. Hardware integration (serial, camera). PyQt5 measurement client. Cryptography for secure biodata.
Result
Copyright certified (Certificate of anteriority No 7979). Foundation for commercial deployment of visual fatigue measurement systems.