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IoT-based Automatic Sorting Machine

. M. Ahmed Gul Zaman, M. Adnan Khan, A M. Khan, M. Muzammil, Saveeta Bai and M. Iqbal Qureshi


Abstract

This paper presents an efficient and automated sorting system that uses image processing for the sorting of parcels rather than outdated and obsolete methods. The products are recognized using text labels, QR Codes, and Barcodes whose images are captured by Pi Cam which is then processed via Image Processing. The proposed method involves Optical Character Recognition (OCR) which is processed by Raspberry Pi. The performance analysis shows an 80% accuracy in QR and Bar code detection. Moreover, the final sorted response is displayed on the IoT-based application.

 

Index Terms- Automatic sorting, inspection, image processing and text detection.

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