Overview
In collaboration with a talented team, I had the opportunity to develop a groundbreaking Smart Hole Detector system. This project aimed to automate the detection of body holes on vehicles, optimizing sticker placement to minimize road noise and prevent water damage. The development process spanned over two days showcased our expertise in computer vision and machine learning.
Features
To ensure outstanding performance, our Smart Hole Detector showcased a range of impressive features, including:
- Utilizing a combination of image processing and deep learning techniques, the system accurately detected and classified body holes either in real-time or with image processing.
- We integrated cutting-edge technologies, such as Python, OpenCV, and the YOLOv8 object detection training system, to enhance the accuracy and efficiency of our solution.
- Through our systematic engineering approach, we achieved fully autonomous and efficient hole detection, reducing manual efforts and enhancing overall productivity.