DVIR · DOT · FMCSA · Python
A production-focused resource for automating, parsing, and routing Driver Vehicle Inspection Reports (DVIRs) while maintaining strict DOT and FMCSA compliance. Built for fleet managers, compliance officers, transportation-tech developers, and Python automation engineers who treat regulatory mandates as architectural constraints — not afterthoughts.
From digital and paper ingestion through OCR, schema normalization, deterministic defect classification, repair-order routing, and immutable audit trails — every guide here is grounded in 49 CFR §396.11, schema-driven validation, and idempotent event processing. The architectures and Python patterns documented in these pages are designed to survive DOT scrutiny and high-volume fleet operations.
Use the buttons below to jump straight to the section you need, or browse the full catalogue of topics further down the page.
Catalogue
Three pillars, twelve focus areas, and deep-dive engineering write-ups. Every page is written for production use: deterministic validation, cryptographic auditability, and Python-driven automation.
The regulatory and structural foundation: 49 CFR §396.11 alignment, schema design, defect taxonomy, cloud compliance boundaries, and audit-ready retention.
End-to-end ingestion: mobile exports, PDF/scan OCR pipelines, field mapping, async batching, and fault-tolerant exception handling at scale.
Deterministic severity scoring, fleet-aware thresholds, critical-vs-non-critical routing, and mechanic dispatch with workload balancing.
