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Face recognition
Analyze the kiosk image to identify the face region and prepare it for subsequent facial-region analysis.
B07AI & data
Face and facial-region recognition for kiosks
An AI recognition project that distinguishes faces and facial regions in kiosk video input.
Explore the features
01 OVERVIEW
The challenge and approach
A PyTorch model and Python server form the analysis structure, connecting captured imagery with face-region recognition results.
Original project visuals are presented in Korean, with English explanations alongside them.
02 FEATURES
The features, in context
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Facial-region segmentation
Distinguish skin, hair, eyes, nose, and mouth so the kiosk service can use region-specific information.
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Recognition result integration
Connect the recognition results to the kiosk’s service flow through the Python server.
03 SCREENS & DESIGN
How the design comes together
Explore the project’s information structure, interface composition, and design decisions
04 WORKFLOW
Following the user’s next step
The flow connects entry points, user roles, and the next step in the work
Energy analytics and AI for small businesses
System development
Manufacturing AI and smart factory solution design
Solution design
University ERP and integrated system operations
Operations improvement