Optical Character Recognition (OCR) for Logistics
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Activities:
Set up a high-performance cloud environment optimized for real-time image processing and character recognition on logistics packages.
Developed a computer vision solution based on OCR to accurately read and extract alphanumeric data from shipping labels on packages.
Leveraged pre-trained deep learning models and fine-tuned them to improve recognition accuracy in a variety of lighting conditions and on different packaging types.
Integrated the OCR solution seamlessly with the company’s logistics management software to automate package tracking and improve overall operational workflow.
Deliverables:
A completely configured cloud environment with Amazon SageMaker for custom machine learning model training and deployment.
Full integration with the existing logistics management software for seamless data flow and real-time tracking.
A fully automated character recognition system that enhances the speed and accuracy of package processing.
Outcomes:
Increased accuracy in reading package labels, reducing manual errors and improving tracking reliability.
Significant reduction in processing times, optimizing the workflow and allowing faster package handling.
Enhanced operational efficiency through the automation of label reading, freeing up resources for more critical tasks.
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