Real-time object detection with Grounding Dino

Projects developed by Student Research Assistants of Innovation Wing

Supervisor: Dr. L. YANG (Innovation Academy, Faculty of Engineering, HKU)

Project information

Project descriptions

Grounding Dino is an innovative computer vision library designed to enhance object detection and scene understanding through advanced grounding techniques. It combines computer vision and natural language processing techniques to integrate contextual understanding in machine learning models, improving their accuracy and efficiency in real-world applications. We will showcase some of the strengths and weaknesses of this very powerful tool during this incoming Inno Show!

Project innovation

More robust, real-time object detection

Achievements

Team information

Project leader: Jose AlbertoI ESPINO PITTI, BEng(CE)

Team member(s): Syed Nafis ISHRAK, BEng(CE); Phurtivilai PATT, BEng(CompSc); ZHOU ZiHan Rachel, BEng(CompSc)

Project poster
Project video
Project images
Awards

Winner of the Inno Show Award @ The 6th Inno Show

This project team was selected for the Inno Show award at the 6th Inno Show. 

This team has received HK$20,000 sponsorship to participate in international design competition(s) and consumables expenses to support further development of the project.

The best project award - COMP3329 Computer Game Design and Programming @ The 1st Engineering InnoShow

This project team was selected for the best project award – COMP3329 Computer Game Design and Programming at the 1st Engineering InnoShow.

PERfECT Wearables: for Minimally-Invasive and Continuous Blood-Glucose Monitoring was selected for the Inno Show Award
Photos in the Engineering Inno Show