About CVIT Lab

About CVIT Lab

CVIT Lab AI

The Computer Vision and Interactive Technology (CVIT) Lab is one of the Department of Mechanical Engineering laboratories in National Central University (NCU), Taiwan.

Our Lab performs research on image, video and audio processing in the fields of Deep Learning, object recognition, multimedia processing and computer vision applications. We are passionate about new information technology and multimedia for many fields and applications.

With sufficient facilities, our lab performs research on image and video processing for computer vision development. The research and study group are led by Prof. Chih-Yang Lin.

Experience Computer Vision

The effort required to build and train a computer to see and accomplish tasks can be arduous, and the applications available for the public to experience might be limited. Below are some of the examples which anyone can visit and see what sort of outcome computers usually can generate.

Research Focus Areas

Deep Learning and Image Processing

Enhancing the security of deep learning models, Improving medical image diagnosis with reliable and trusted results and AI in Industrial applications to make better solutions of crucial problems.

Intelligent Energy Management

Developing intelligent energy management systems for smart homes and buildings to reduce energy consumption and improve energy efficiency.

Robot Vision and Autonomous Systems

Developing robot vision and autonomous systems for robots to navigate and interact with the environment.

WiFi Sensing and Perception

Developing wifi sensing and perception systems for smart homes and buildings to improve energy efficiency and reduce energy consumption.

Further Reading

Computer Vision has come a long way, but there are many issues yet to be solved. It can be ubiquitous in different fields of research, but their problems can be summarized into accuracy and efficiency. Nowadays, Computer Vision has been applied in surveillance system, agricultural management, medical fields and others, which shows the flexibility of this technology and its ability to collaborate with various fields.

Collaborations

We partner with leading academic institutions and industry organizations worldwide to advance research in visual information technology.

Facilities

Our state-of-the-art lab features high-performance computing resources, specialized imaging equipment, and dedicated research spaces.

Education

We train the next generation of researchers through our graduate programs, workshops, and internship opportunities.