PT Sumi Rubber Indonesia improved its tire identification and inspection process through Ravelware’s Smart Inspection solution. By combining barcode scanning, AI OCR, and automatic data validation, the system helps accelerate identification while improving accuracy and traceability across the inspection process. See how AI OCR and barcode scanning work together to automatically identify tire stencil numbers, validate product data, and record inspection results in real time.

Tire barcode identification and stencil number reading were previously handled manually by operators. This made the process more time-consuming and increased the risk of human error, especially when reading, matching, and recording stencil numbers. Manual input also created the possibility of mismatches between tire barcodes and stencil data, while identification results were not yet captured automatically into the system.

Identified Operational Pain Points:

• Proses identifikasi barcode ban masih dilakukan secara manual.
• Pembacaan nomor stencil masih dilakukan secara manual oleh operator.
• Pencatatan barcode dan nomor stencil membutuhkan waktu lebih lama.
• Risiko human error dalam membaca dan mencatat nomor stencil masih tinggi.
• Input data barcode dan nomor stencil masih membutuhkan proses manual.
• Risiko ketidaksesuaian antara barcode ban dan nomor stencil.
• Data identifikasi ban belum tercatat secara otomatis dan terintegrasi ke sistem.
• Ketergantungan terhadap ketelitian operator masih tinggi.

Ravelware implemented a Smart Inspection System integrating AI OCR Camera and handheld barcode scanning. The AI camera automatically reads the tire stencil number, while the handheld scanner captures the tire barcode. Both data points are matched and validated in real time before being recorded automatically into the database. The system also provides web and mobile dashboards for monitoring, history tracking, and integration with the existing application or database.

System Capabilities & Modules:

• AI OCR Camera untuk membaca nomor stencil secara otomatis.
• Handheld Scanner untuk scan barcode ban.
• Auto Matching antara barcode ban dan nomor stencil.
• Real-time Validation untuk memastikan data barcode dan stencil sesuai.
• Automatic Data Recording ke database tanpa input manual.
• Web & Mobile Dashboard untuk monitoring dan history data.
• Integration dengan existing database/application.