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Facial Recognition:
Visualizing a Smart Future Prof. Xiaoou Sean Tang leads research in computer vision, pattern recognition, and video processing. His team has built a novel facial recognition system that achieved the world’s highest accuracy of 99.15%, surpassing the accuracy of human eyes. This technology has numerous important applications in security, law enforcement, internet, entertainment and other areas. This work has led Prof. Tang to co-found SenseTime, the world’s most valuable AI unicorn focused on computer vision and deep learning, with more than US$1.6 billion raised and is valued over US$4.5 billion.
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Prof. Xiaoou Sean Tang co-founded SenseTime, the world’s most valuable AI unicorn.
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Facial and image recognition technologies have many important applications.
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The system developed by Prof. Pheng-Ann Heng has dramatically reduced the time and increased the accuracy of cancer diagnosis.
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Automated medical image processing technology is highly accurate in detecting lung and breast cancers.
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AI-assisted Cancer Diagnosis:
Sharp Eyes for Finding Cancers Prof. Pheng-Ann Heng has developed an innovative artificial intelligence system using an automated medical image processing technology to offer efficient diagnosis using CT scan and histopathological images. The system, which utilizes deep learning algorithms, has been validated on two of Hong Kong’s most prevalent cancers, lung cancer and breast cancer, with high accuracies. |
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Medical Robotics:
Raising the Bar of Precision Surgery The Chow Yuk Ho Technology Centre for Innovative Medicine conducts research to apply and advance robotic applications to medicine. Prof. Philip Chiu, whose expertise is on robotic minimally invasive and endoscopic surgery, has invented a novel flexible robotic endoscopy system for the performance of endoscopic submucosal dissection which allows surgeons to perform precise dissection and reduces complication and cancer recurrence.
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Prof. Philip Chiu invents a novel flexible robotic endoscopy system for endoscopic submucosal dissections.
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The novel flexible robotic endoscopy system.
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The CUHK T Stone Robotics Institute, under the leadership of Prof. Yun-hui Liu, is advancing technologies in robotics and automation.
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Utilizing vision-based navigation and control technologies, autonomous forklifts increases efficiency and reduces work-related injuries.
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Autonomous Driving Technologies: Hands Off the Wheel and the Shelf
Prof. Yun-hui Liu leads the CUHK T Stone Robotics Institute in advancing technologies in robotics and automation for industrial, medical and service applications. The Institute has developed autonomous driving technologies for industrial vehicles to transport and lift heavy loads in semi-closed environments with high precision. These technologies have led to a number of commercial products such as autonomous pallet forklift trucks, lifting forklift trucks and tractors. |