Discovered the limitation of existing colour searching or filter technology, project team of “Artificial Intelligence Based Fashion Design Assistant” has developed the precise product colour searching system, Mixicolour!
It is a colour extraction tool for online shopping platform! Users can easily find the exact colour of items by uploading image of an apparel item. Users can also pick colour from the palette, Mixicolour will retrieve items with the exact colour as well!
To know more or try out Mixicolour, please don’t hesitate to contact Dr. Aemika Zou at rp3-1@aidlab.hk !
It is a colour extraction tool for online shopping platform! Users can easily find the exact colour of items by uploading image of an apparel item. Users can also pick colour from the palette, Mixicolour will retrieve items with the exact colour as well!
To know more or try out Mixicolour, please don’t hesitate to contact Dr. Aemika Zou at rp3-1@aidlab.hk !
Led by Dr Carman LEE, Dr Yuk-Ming TANG & Dr Pai ZHENG, this research project uses AI assisted image recognition and statistical techniques to establish the relationships between features of non-verbal communication (facial expressions, body posture and gestures) of customers and their satisfaction with products/services. In addition, an intelligent system will be developed which users can obtain useful information such as customers’ satisfaction by their expressions, body posture and gestures as well as the online customer review.
Based on the non-verbal communication of human, the team has exploited a system of Human Robot Collaboration which demonstrates how the robotic arm assists human by a gesture. This study can help the team to get a holistic scene understanding that contributes to proactive Human-robot collaboration.
Based on the non-verbal communication of human, the team has exploited a system of Human Robot Collaboration which demonstrates how the robotic arm assists human by a gesture. This study can help the team to get a holistic scene understanding that contributes to proactive Human-robot collaboration.
In the digital era, the use of immersive technology, consisting of virtual reality (VR), augmented reality (AR), and mixed reality (MR), is gradually taking hold and widespread in our daily life. Led by Dr. Carman LEE, the research project exploits the ability of gesture control to command music streaming applications when using MR-enabled smart glasses. Users’ gestures are effectively recognised by applying our AI-empowered algorithms, and thus a number of skeleton joints are built and visualized for computations.
The above capability opens up more opportunities to develop cyber-physical systems that encourage more product and service innovation to benefit our daily lives and society.
The above capability opens up more opportunities to develop cyber-physical systems that encourage more product and service innovation to benefit our daily lives and society.