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Related Experiment Video

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Photorealistic Learned Landscapes for Augmented Reality

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Restaurant Interior Design under Digital Image Processing Based on Visual Sensing Technology.

Yan Wan¹, Can Cui¹, Guanqiang Wang¹

¹Faculty of Humanities and Arts, Macau University of Science and Technology, Avenida Wai Long, Taipa 999078, Macau, China.

Computational Intelligence and Neuroscience

|June 20, 2022

Summary

This summary is machine-generated.

This study introduces an intelligent automatic illumination system for restaurants using digital image processing and a convolutional neural network (CNN). The system achieves high human body recognition accuracy, enhancing dining atmosphere and service levels.

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Area of Science:

Computer Science
Artificial Intelligence
Digital Image Processing

Background:

Growing demand for personalized and comfortable dining experiences.
Need for intelligent systems to enhance restaurant ambiance and service.
Limitations of traditional interior design in meeting modern customer expectations.

Purpose of the Study:

To develop an intelligent automatic illumination system for restaurant interior design.
To enhance the dining environment through personalized and responsive lighting.
To integrate digital image processing and artificial intelligence for improved restaurant experiences.

Main Methods:

Utilizing digital image processing technology for system development.
Employing a convolutional neural network (CNN) for human body recognition.
Optimizing CNN parameters to achieve high recognition accuracy and efficient training.

Main Results:

Achieved a high human body recognition accuracy of 0.97.
Optimized CNN model trained in 40 minutes, outperforming other models.
The system demonstrated robustness against external object interference.

Conclusions:

The developed automatic illumination system significantly improves restaurant atmosphere and service.
The intelligent system promotes restaurant modernization and offers insights for the decoration industry.
Digital image processing and CNN integration provide a foundation for advanced interior design solutions.