Supply chain operations require accurate, transparent, and traceable records as goods move between suppliers and warehouses. Conventional systems may not adequately verify operational data at the point of entry, creating risks of inaccurate or invalid records. This study presents Platrack, a mobile Internet of Things (IoT)-based application for logistics traceability that integrates blockchain, optical character recognition (OCR), and geolocation. The system uses OCR to recognize vehicle license plates at departure and OpenStreetMap-based geolocation to validate the route from supplier pickup to warehouse check-in. Validated vehicle, location, and transaction data are recorded on a blockchain ledger to support data integrity and traceability. The system’s license plate recognition performance is evaluated using the detection rate (DR), false positive rate (FPR), and false negative rate (FNR). The implementation demonstrates how combining visual and location-based data validation with blockchain recording can support a tamper-evident audit trail for logistics transactions. Platrack offers an approach to improving the security and transparency of supply chain records.
Keywords
Blockchain, supply chain, geolocation, Internet of Things, optical character recognition