My Computer Vision Journey: From University Graduation to TFTLCD Manufacturing

Introduction

Graduating from university marks a pivotal moment in one’s life, and for me, it signified the beginning of my professional career. I was fortunate to join a renowned TFTLCD manufacturing company, where I embarked on a journey as a software engineer. In this role, I discovered the fascinating world of computer vision and dedicated my passion to advancing this field.

Career Kickoff

Upon joining the company, I was assigned to the software engineering team. As a software engineer, my primary responsibility was to research and develop technologies related to computer vision, aimed at enhancing the efficiency and quality of the TFTLCD manufacturing process.

Exploring Computer Vision

Task One: Image Detection

My initial assignment involved leveraging computer vision technology for image detection. Through in-depth learning and the application of advanced algorithms, I successfully developed a detection system capable of identifying and rectifying defects in the LCD production process.

Example 1

This is one of my computer vision projects that I tested using Python.

In the end, I designed the UI interface to function like this: if the operator is not wearing the required protective gear correctly, an alarm will sound, and an email alert will be sent to the supervisor.

The entire process was carried out solely by me—from data collection and annotation to the development of the YOLO program, and finally, the porting of the program to the Jetson Nano platform.

Working