An Enhanced Barcode Recognition Framework Integrating Yolov5 Detection with Pyzbar-Based Decoding

Barcode detection is an essential process in contemporary automation, inventory management, and retailing, which enables fast and precise data recovery. The greater dependence on automatic systems has brought about the need for more stable and effective barcode detection systems to deal with complex real-world environments. This paper introduces a hybrid system that combines state-of- the-art deep learning-based object detection with traditional barcode decoding methods in order to increase overall accuracy, reliability, and efficiency. The system implemented under the proposal uses the YOLOv5 model, a commonly used deep learning model renowned for its fast processing speeds and accurate localization. Utilizing YOLOv5, the system provides real-time barcode detection, even with difficult conditions like changing light conditions, occlusion, and cluttered backgrounds. The method improves detection rates greatly while balancing the trade-off between computational complexity and real-time processing constraints. In addition, the barcode scanning process is improved through the implementation of Pyzbar, an efficient library utilized for extracting ordered data from the 1D and 2D formats of barcodes. The system attains high adaptability across different barcode formats and operating environments, while maintaining deployment feasibility on modern edge and desktop platforms through model optimization strategies. In this combined procedure, flexibility can be increased along with minimizing the possibility of obtaining false negatives as well as refining data recovery rates. The outcomes showcase how deep learning-based object detection coupled with conventional decoding methods presents an extensive solution for barcode recognition in changing and complex environments. This research highlights the ability of hybrid models in providing high-performance barcode detection, ultimately leading to innovations in automation and intelligent data management systems.