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Achievements

Overview

Objective Goal

During the peak of the COVID pandemic, the COVID trip card became an essential tool for everyone traveling within China. However, its manual verification was both time-consuming and prone to errors. Recognizing this challenge, I aimed to develop an automated system that would streamline the verification process, ensuring efficiency, accuracy, and a user-centric approach.

1

📝 Design Phase

This initial phase was dedicated to obtaining user requirements, crafting a comprehensive system design, and laying out the E-R diagram for a robust and scalable MySQL database structure. I also utilized Figma to design the system's front-end, ensuring an intuitive user interface.

2

🧠 Neural Network Enhancement

The core of the OCR system was powered by an enhanced neural network, which outperformed the capabilities of the EasyOCR framework.

3

🖥️ Frontend Development

Leveraging the advanced capabilities of PySide6, I transformed the Figma designs into a functional user-friendly interface tailored for practical application. This frontend not only monitors the computer's runtime performance but also enhances the user experience with features such as multi-threaded recognition and batch processing.