A data product designed to analyse vehicle entry patterns across estates and identify anomalies in access records.
Outcome: Improved estate-level investigation workflows by surfacing repeat visitors, validation mismatches, and vehicle entry patterns through structured analytics.
Property access logs generate large volumes of vehicle entry records, but investigation workflows often rely on manual sampling or ad-hoc queries.
This makes anomaly detection slow and operationally inefficient.
I built a structured analytics dashboard that categorises vehicle entries by property, gate type, validation category, and visitor frequency. The system integrates OCR-aware fuzzy matching to identify repeat visitors even when plate recognition errors occur.
The dashboard enables faster anomaly detection and provides estate managers with clearer operational visibility into access patterns.