VistGAN: Unsupervised VSR solution for Smart Carpark
Overview
A novel Video Super-Resolution (VSR) approach to retrieve high-resolution details from low-resolution video.
Commercialisation opportunities
Technology licensing agreement / Industry collaboration
Problem addressed
The AI enabled solution can achieve one-to-many car plate recognition simultaneously, which is a cost saving solution to smart parking management system.
Innovation
- VistGAN – an unsupervised video super-resolution technique which reconstructions a high-resolution video sequence of grams from a low-resolution video sequence of frames.
- The reconstruction makes use of a video super-resolution approach with temporal consistency using Generative Adversarial Networks (GAN), an unsupervised learning mode, and a metric learning model in its discriminator which maps degradation operations of the low-resolution frames.
Key impact
- Higher video quality up to 26.78 Peak SNR
- Reduce CAPEX on hardware installation (10 camera into 1)
- Flexible installation for public parking area
- AI model and OCR running on the IoT edge
Application
- Indoor Carpark – car plate recognition and way guiding
- Outdoor Carpark – smart cities for parking space enquiry
The Hong Kong University of Science and Technology (HKUST)
The Hong Kong University of Science and Technology (HKUST) (https://hkust.edu.hk/) is a world-class research intensive university that focuses on science, technology and business as well as humanities and social science. HKUST offers an international campus, and a holistic and interdisciplinary pedagogy to nurture well-rounded graduates with global vision, a strong entrepreneurial spirit and innovative thinking. Over 80% of our research work were rated “Internationally excellent” or “world leading” in the Research Assessment Exercise 2020 of Hong Kong’s University Grants Committee. We were ranked 3rd in Times Higher Education’s Young University Rankings 2022, and our graduates were ranked 23rd worldwide and among the best from universities from Asia in Global University Employability Survey 2021.
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